Methods › Reinforcement Learning › Off-Policy TD Control › Q-Learning › Papers, page 14

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 14 of 18: papers 1,301 to 1,400 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.

• Periodic Q-Learning
  23 Feb 2020 · 0 repositories · arXiv:2002.09795
• Anypath Routing Protocol Design via Q-Learning for Underwater Sensor Networks
  22 Feb 2020 · 0 repositories · arXiv:2002.09623
• Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
  21 Feb 2020 · 0 repositories · arXiv:2002.09136
• Langevin DQN
  17 Feb 2020 · 2 repositories · arXiv:2002.07282
• A Multimodal Dialogue System for Conversational Image Editing
  16 Feb 2020 · 0 repositories · arXiv:2002.06484
• Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
  16 Feb 2020 · 1 repository · arXiv:2002.06487
• Reinforced active learning for image segmentation
  16 Feb 2020 · 1 repository · arXiv:2002.06583
• Fast Reinforcement Learning for Anti-jamming Communications
  13 Feb 2020 · 0 repositories · arXiv:2002.05364
• Listwise Learning to Rank with Deep Q-Networks
  13 Feb 2020 · 0 repositories · arXiv:2002.07651
• Regret Bounds for Discounted MDPs
  12 Feb 2020 · 0 repositories · arXiv:2002.05138
• Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
  10 Feb 2020 · 0 repositories · arXiv:2002.04131
• Learning State Abstractions for Transfer in Continuous Control
  8 Feb 2020 · 2 repositories · arXiv:2002.05518
• Safe Wasserstein Constrained Deep Q-Learning
  7 Feb 2020 · 0 repositories · arXiv:2002.03016
• Deep Radial-Basis Value Functions for Continuous Control
  5 Feb 2020 · 0 repositories · arXiv:2002.01883
• Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
  23 Jan 2020 · 4 repositories · arXiv:2001.08726
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 6 harvested samples)
• Q-Learning in enormous action spaces via amortized approximate maximization
  22 Jan 2020 · 0 repositories · arXiv:2001.08116
• Discriminator Soft Actor Critic without Extrinsic Rewards
  19 Jan 2020 · 1 repository · arXiv:2001.06808
• Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
  15 Jan 2020 · 0 repositories · arXiv:2001.07527
• Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
  10 Jan 2020 · 0 repositories · arXiv:2001.03359
• A Probabilistic Simulator of Spatial Demand for Product Allocation
  9 Jan 2020 · 0 repositories · arXiv:2001.03210
• EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
  8 Jan 2020 · 0 repositories · arXiv:2001.02399
• Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar
  6 Jan 2020 · 0 repositories · arXiv:2001.01799
• Deep Randomized Least Squares Value Iteration
  1 Jan 2020 · 0 repositories
• SVQN: Sequential Variational Soft Q-Learning Networks
  1 Jan 2020 · 0 repositories
• Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog
  1 Jan 2020 · 0 repositories
• Information Theoretic Model Predictive Q-Learning
  31 Dec 2019 · 0 repositories · arXiv:2001.02153
• SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning
  28 Dec 2019 · 1 repository · arXiv:1912.12482
  Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples)
• Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
  23 Dec 2019 · 0 repositories · arXiv:1912.10697
• Learning an Interpretable Traffic Signal Control Policy
  23 Dec 2019 · 1 repository · arXiv:1912.11023
• Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
  20 Dec 2019 · 0 repositories · arXiv:1912.09595
• Soft Q Network
  20 Dec 2019 · 0 repositories · arXiv:1912.10891
• Sepsis World Model: A MIMIC-based OpenAI Gym "World Model" Simulator for Sepsis Treatment
  15 Dec 2019 · 0 repositories · arXiv:1912.07127
• High dimensional precision medicine from patient-derived xenografts
  13 Dec 2019 · 0 repositories · arXiv:1912.06667
• Provably Efficient Reinforcement Learning with Aggregated States
  13 Dec 2019 · 0 repositories · arXiv:1912.06366
• A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
  10 Dec 2019 · 0 repositories · arXiv:1912.04511
• Learning Sparse Representations Incrementally in Deep Reinforcement Learning
  9 Dec 2019 · 0 repositories · arXiv:1912.04002
• Value-of-Information based Arbitration between Model-based and Model-free Control
  8 Dec 2019 · 0 repositories · arXiv:1912.05453
• Reinforcement Learning with Non-Markovian Rewards
  5 Dec 2019 · 0 repositories · arXiv:1912.02552
• Combining Q-Learning and Search with Amortized Value Estimates
  5 Dec 2019 · 0 repositories · arXiv:1912.02807
• A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms
  4 Dec 2019 · 0 repositories · arXiv:1912.02270
• Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks
  4 Dec 2019 · 0 repositories · arXiv:1912.02059
• Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
  3 Dec 2019 · 0 repositories · arXiv:1912.01160
• Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
  1 Dec 2019 · 0 repositories
• Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
  1 Dec 2019 · 1 repository
• Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
  1 Dec 2019 · 0 repositories
• Reconciling λ-Returns with Experience Replay
  1 Dec 2019 · 1 repository
• Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
  29 Nov 2019 · 0 repositories · arXiv:1912.00074
• Control-Tutored Reinforcement Learning: an application to the Herding Problem
  26 Nov 2019 · 0 repositories · arXiv:1911.11444
• Join Query Optimization with Deep Reinforcement Learning Algorithms
  26 Nov 2019 · 1 repository · arXiv:1911.11689
• Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks
  25 Nov 2019 · 0 repositories · arXiv:1912.04030
• Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
  25 Nov 2019 · 0 repositories · arXiv:1911.10692
• Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning
  24 Nov 2019 · 0 repositories · arXiv:1911.10521
• Efficient Drone Mobility Support Using Reinforcement Learning
  21 Nov 2019 · 0 repositories · arXiv:1911.09715
• Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning
  21 Nov 2019 · 0 repositories · arXiv:1911.09682
• Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
  19 Nov 2019 · 0 repositories · arXiv:1911.08111
• Asymptotics of Reinforcement Learning with Neural Networks
  13 Nov 2019 · 0 repositories · arXiv:1911.07304
• Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
  10 Nov 2019 · 0 repositories · arXiv:1911.03849
• Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach
  8 Nov 2019 · 0 repositories · arXiv:1911.04894
• An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
  4 Nov 2019 · 0 repositories · arXiv:1911.01030
• Challenging On Car Racing Problem from OpenAI gym
  2 Nov 2019 · 0 repositories · arXiv:1911.04868
• On Solving the 2-Dimensional Greedy Shooter Problem for UAVs
  2 Nov 2019 · 1 repository · arXiv:1911.01419
• Generalized Speedy Q-learning
  1 Nov 2019 · 1 repository · arXiv:1911.00397
• Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
  28 Oct 2019 · 0 repositories · arXiv:1910.12465
• Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
  28 Oct 2019 · 0 repositories · arXiv:1910.12802
• BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
  27 Oct 2019 · 1 repository · arXiv:1910.12179
  Syntology official (archive's flag): 5 ran · 5 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; 4 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples) · 6 pointer-only (licence)
• Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
  27 Oct 2019 · 1 repository · arXiv:1910.12354
• D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments
  26 Oct 2019 · 0 repositories · arXiv:1910.12020
• ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
  26 Oct 2019 · 2 repositories · arXiv:1910.12154
  Syntology 6 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; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
• Deep Q-Learning for Same-Day Delivery with Vehicles and Drones
  25 Oct 2019 · 0 repositories · arXiv:1910.11901
• Momentum in Reinforcement Learning
  21 Oct 2019 · 0 repositories · arXiv:1910.09322
• Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach
  21 Oct 2019 · 0 repositories · arXiv:1910.09172
• Policy Learning for Malaria Control
  20 Oct 2019 · 2 repositories · arXiv:1910.08926
• Reverse Experience Replay
  19 Oct 2019 · 0 repositories · arXiv:1910.08780
• Automatic Data Augmentation by Learning the Deterministic Policy
  18 Oct 2019 · 1 repository · arXiv:1910.08343
• On the Reduction of Variance and Overestimation of Deep Q-Learning
  14 Oct 2019 · 0 repositories · arXiv:1910.05983
• Zap Q-Learning With Nonlinear Function Approximation
  11 Oct 2019 · 0 repositories · arXiv:1910.05405
• Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments
  9 Oct 2019 · 0 repositories · arXiv:1910.04281
• Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures
  9 Oct 2019 · 0 repositories · arXiv:1910.03781
• Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach
  8 Oct 2019 · 0 repositories · arXiv:1910.03398
• Multi-step Greedy Reinforcement Learning Algorithms
  7 Oct 2019 · 0 repositories · arXiv:1910.02919
• Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
  7 Oct 2019 · 0 repositories · arXiv:1910.02876
• Deep Q-Network for Angry Birds
  4 Oct 2019 · 1 repository · arXiv:1910.01806
• I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action
  4 Oct 2019 · 0 repositories · arXiv:1910.02078
• Benchmarking Batch Deep Reinforcement Learning Algorithms
  3 Oct 2019 · 5 repositories · arXiv:1910.01708
• AI Assisted Annotator using Reinforcement Learning
  2 Oct 2019 · 0 repositories · arXiv:1910.02052
• Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
  1 Oct 2019 · 0 repositories · arXiv:1910.02787
• Meta-Q-Learning
  30 Sep 2019 · 2 repositories · arXiv:1910.00125
  Syntology community repositories only · 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) · 3 pointer-only (licence)
• Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
  30 Sep 2019 · 0 repositories · arXiv:1909.13518
• Visual Exploration and Energy-aware Path Planning via Reinforcement Learning
  26 Sep 2019 · 1 repository · arXiv:1909.12217
• CAQL: Continuous Action Q-Learning
  26 Sep 2019 · 0 repositories · arXiv:1909.12397
• Active inference: demystified and compared
  24 Sep 2019 · 1 repository · arXiv:1909.10863
• Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
  21 Sep 2019 · 1 repository · arXiv:1909.09902
• On the Convergence of Approximate and Regularized Policy Iteration Schemes
  20 Sep 2019 · 0 repositories · arXiv:1909.09621
• ModelicaGym: Applying Reinforcement Learning to Modelica Models
  18 Sep 2019 · 1 repository · arXiv:1909.08604
• Split Deep Q-Learning for Robust Object Singulation
  17 Sep 2019 · 0 repositories · arXiv:1909.08105
• Joint Inference of Reward Machines and Policies for Reinforcement Learning
  12 Sep 2019 · 0 repositories · arXiv:1909.05912
• Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
  11 Sep 2019 · 0 repositories · arXiv:1909.05950
• Q-learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks
  11 Sep 2019 · 0 repositories
• A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation
  10 Sep 2019 · 0 repositories · arXiv:1909.04299
• Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
  9 Sep 2019 · 0 repositories · arXiv:1909.03906