Methods › Reinforcement Learning › Off-Policy TD Control › Q-Learning › Papers, page 15

Q-Learning

Papers archive 2025-07-28

archive papers tagged: 1,734 · with a code link: 464 · where Syntology ran a sample: 126 (105 with a run with no instrument failure, 21 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (126 of 1,734 tagged: 105 with a run with no instrument failure, 21 where every run was a failure of Syntology's instrument)

Page 15 of 18: papers 1,401 to 1,500 of 1,734, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
  7 Sep 2019 · 0 repositories · arXiv:1909.03204
• Reinforcement Learning for Joint Optimization of Multiple Rewards
  6 Sep 2019 · 0 repositories · arXiv:1909.02940
• Encoders and Decoders for Quantum Expander Codes Using Machine Learning
  6 Sep 2019 · 0 repositories · arXiv:1909.02945
• Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
  4 Sep 2019 · 0 repositories · arXiv:1909.01544
• Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
  29 Aug 2019 · 0 repositories · arXiv:1908.11071
• Intelligent Active Queue Management Using Explicit Congestion Notification
  28 Aug 2019 · 1 repository · arXiv:1909.08386
• Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
  28 Aug 2019 · 0 repositories · arXiv:1908.10722
• STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
  28 Aug 2019 · 0 repositories · arXiv:1908.10577
• Performing Deep Recurrent Double Q-Learning for Atari Games
  16 Aug 2019 · 2 repositories · arXiv:1908.06040
• Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure Games
  13 Aug 2019 · 1 repository · arXiv:1908.04777
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
  10 Aug 2019 · 0 repositories · arXiv:1908.03761
• Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework
  27 Jul 2019 · 0 repositories · arXiv:1907.11887
• An Optimistic Perspective on Offline Reinforcement Learning
  10 Jul 2019 · 1 repository · arXiv:1907.04543
• Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
  30 Jun 2019 · 1 repository · arXiv:1907.00456
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC
  26 Jun 2019 · 0 repositories · arXiv:1906.10970
• Towards Empathic Deep Q-Learning
  26 Jun 2019 · 1 repository · arXiv:1906.10918
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Learning Causal State Representations of Partially Observable Environments
  25 Jun 2019 · 0 repositories · arXiv:1906.10437
• In Hindsight: A Smooth Reward for Steady Exploration
  24 Jun 2019 · 0 repositories · arXiv:1906.09781
• Optimal Use of Experience in First Person Shooter Environments
  24 Jun 2019 · 0 repositories · arXiv:1906.09734
• Neural networks with motivation
  23 Jun 2019 · 0 repositories · arXiv:1906.09528
• Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations
  23 Jun 2019 · 0 repositories · arXiv:1906.09550
• A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
  21 Jun 2019 · 1 repository · arXiv:1906.11286
• Split Q Learning: Reinforcement Learning with Two-Stream Rewards
  21 Jun 2019 · 1 repository · arXiv:1906.12350
• A Generalized Minimax Q-learning Algorithm for Two-Player Zero-Sum Stochastic Games
  16 Jun 2019 · 0 repositories · arXiv:1906.06659
• Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
  10 Jun 2019 · 3 repositories · arXiv:1906.04009
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning
  5 Jun 2019 · 0 repositories · arXiv:1906.09874
• Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
  5 Jun 2019 · 0 repositories · arXiv:1906.02138
• Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response
  5 Jun 2019 · 0 repositories · arXiv:1906.02312
• Reinforcement Learning with Low-Complexity Liquid State Machines
  4 Jun 2019 · 1 repository · arXiv:1906.01695
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
• Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
  3 Jun 2019 · 3 repositories · arXiv:1906.00949
  Syntology 4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result (of 5 harvested samples) · 5 pointer-only (licence)
• Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
  3 Jun 2019 · 0 repositories · arXiv:1906.01119
• RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
  3 Jun 2019 · 0 repositories · arXiv:1906.01110
• Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies
  3 Jun 2019 · 0 repositories · arXiv:1906.01126
• Feature-Based Q-Learning for Two-Player Stochastic Games
  2 Jun 2019 · 0 repositories · arXiv:1906.00423
• Provably Efficient Q-Learning with Low Switching Cost
  30 May 2019 · 0 repositories · arXiv:1905.12849
• Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
  29 May 2019 · 3 repositories · arXiv:1905.12767
• Learning distant cause and effect using only local and immediate credit assignment
  28 May 2019 · 0 repositories · arXiv:1905.11589
• Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero
  28 May 2019 · 2 repositories · arXiv:1905.11623
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
  27 May 2019 · 1 repository · arXiv:1905.11425
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
  27 May 2019 · 5 repositories · arXiv:1905.11108
• Prioritized Sequence Experience Replay
  25 May 2019 · 0 repositories · arXiv:1905.12726
• A Kernel Loss for Solving the Bellman Equation
  25 May 2019 · 1 repository · arXiv:1905.10506
• MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning
  24 May 2019 · 0 repositories · arXiv:1905.12567
• Adaptive Symmetric Reward Noising for Reinforcement Learning
  24 May 2019 · 1 repository · arXiv:1905.10144
• Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
  23 May 2019 · 0 repositories · arXiv:1905.09673
• Deep Reinforcement Learning Based Parameter Control in Differential Evolution
  20 May 2019 · 1 repository · arXiv:1905.08006
• Stochastic Variance Reduction for Deep Q-learning
  20 May 2019 · 0 repositories · arXiv:1905.08152
• Reinforcement Learning for Learning of Dynamical Systems in Uncertain Environment: a Tutorial
  19 May 2019 · 0 repositories · arXiv:1905.07727
• Mastering the Game of Sungka from Random Play
  17 May 2019 · 1 repository · arXiv:1905.07102
• QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection
  16 May 2019 · 1 repository
• Autonomous Penetration Testing using Reinforcement Learning
  15 May 2019 · 0 repositories · arXiv:1905.05965
• Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction
  15 May 2019 · 0 repositories · arXiv:1905.06274
• Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
  10 May 2019 · 0 repositories · arXiv:1905.04127
• Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
  10 May 2019 · 0 repositories · arXiv:1905.04094
• Pretrain Soft Q-Learning with Imperfect Demonstrations
  9 May 2019 · 0 repositories · arXiv:1905.03501
• A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem
  9 May 2019 · 0 repositories · arXiv:1905.03726
• Accelerated Target Updates for Q-learning
  7 May 2019 · 0 repositories · arXiv:1905.02841
• Comprehensible Context-driven Text Game Playing
  6 May 2019 · 2 repositories · arXiv:1905.02265
• Deep Ordinal Reinforcement Learning
  6 May 2019 · 1 repository · arXiv:1905.02005
• Beyond Games: Bringing Exploration to Robots in Real-world
  1 May 2019 · 0 repositories
• Efficient Model-free Reinforcement Learning in Metric Spaces
  1 May 2019 · 1 repository · arXiv:1905.00475
• Inducing Cooperation via Learning to reshape rewards in semi-cooperative multi-agent reinforcement learning
  1 May 2019 · 0 repositories
• Learning agents with prioritization and parameter noise in continuous state and action space
  1 May 2019 · 0 repositories
• Recurrent Experience Replay in Distributed Reinforcement Learning
  1 May 2019 · 3 repositories
• A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
  30 Apr 2019 · 0 repositories · arXiv:1904.13032
• Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
  30 Apr 2019 · 0 repositories · arXiv:1904.13255
• Zap Q-Learning for Optimal Stopping Time Problems
  25 Apr 2019 · 0 repositories · arXiv:1904.11538
• Stochastic Lipschitz Q-Learning
  24 Apr 2019 · 0 repositories · arXiv:1904.10653
• Target-Based Temporal Difference Learning
  24 Apr 2019 · 0 repositories · arXiv:1904.10945
• Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
  19 Apr 2019 · 0 repositories · arXiv:1904.09120
• "Jam Me If You Can'': Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications
  8 Apr 2019 · 0 repositories · arXiv:1904.03897
• Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies
  2 Apr 2019 · 0 repositories · arXiv:1904.01200
• Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
  30 Mar 2019 · 0 repositories · arXiv:1904.00231
• Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
  26 Mar 2019 · 3 repositories · arXiv:1903.11012
• Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
  25 Mar 2019 · 0 repositories · arXiv:1903.10605
• DQN with model-based exploration: efficient learning on environments with sparse rewards
  22 Mar 2019 · 0 repositories · arXiv:1903.09295
• Towards Characterizing Divergence in Deep Q-Learning
  21 Mar 2019 · 0 repositories · arXiv:1903.08894
• Deep Reinforcement Learning with Decorrelation
  18 Mar 2019 · 0 repositories · arXiv:1903.07765
• Reinforcement Learning with Dynamic Boltzmann Softmax Updates
  14 Mar 2019 · 1 repository · arXiv:1903.05926
• Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
  12 Mar 2019 · 0 repositories · arXiv:1903.04959
• Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft
  11 Mar 2019 · 2 repositories · arXiv:1903.04311
• Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
  11 Mar 2019 · 1 repository · arXiv:1903.04527
  Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 1 pointer-only (licence)
• Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
  11 Mar 2019 · 1 repository · arXiv:1903.04193
• DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning
  9 Mar 2019 · 0 repositories · arXiv:1903.03882
• Successive Over Relaxation Q-Learning
  9 Mar 2019 · 0 repositories · arXiv:1903.03812
• Learning Heuristics over Large Graphs via Deep Reinforcement Learning
  8 Mar 2019 · 2 repositories · arXiv:1903.03332
• MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
  7 Mar 2019 · 3 repositories · arXiv:1903.03176
  Syntology official: harvested, nothing ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Distributed Edge Caching via Reinforcement Learning in Fog Radio Access Networks
  27 Feb 2019 · 0 repositories · arXiv:1902.10574
• Unifying Ensemble Methods for Q-learning via Social Choice Theory
  27 Feb 2019 · 0 repositories · arXiv:1902.10646
• Diagnosing Bottlenecks in Deep Q-learning Algorithms
  26 Feb 2019 · 1 repository · arXiv:1902.10250
  Syntology 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 10 harvested samples)
• Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
  26 Feb 2019 · 0 repositories · arXiv:1902.09696
• Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
  18 Feb 2019 · 0 repositories · arXiv:1902.06824
• Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles
  16 Feb 2019 · 1 repository · arXiv:1903.03411
• Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
  13 Feb 2019 · 0 repositories · arXiv:1902.04779
• Learning Best Response Strategies for Agents in Ad Exchanges
  10 Feb 2019 · 0 repositories · arXiv:1902.03588
• Making Deep Q-learning methods robust to time discretization
  28 Jan 2019 · 1 repository · arXiv:1901.09732
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
  27 Jan 2019 · 0 repositories · arXiv:1901.09311
• Reward Shaping via Meta-Learning
  27 Jan 2019 · 0 repositories · arXiv:1901.09330
• Combinational Q-Learning for Dou Di Zhu
  24 Jan 2019 · 1 repository · arXiv:1901.08925
• Distillation Strategies for Proximal Policy Optimization
  23 Jan 2019 · 0 repositories · arXiv:1901.08128