Methods › Reinforcement Learning › Off-Policy TD Control › Q-Learning › Papers, page 18

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 18 of 18: papers 1,701 to 1,734 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.

• Deep Exploration via Bootstrapped DQN
  15 Feb 2016 · 6 repositories · arXiv:1602.04621
  Syntology 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) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Using Deep Q-Learning to Control Optimization Hyperparameters
  12 Feb 2016 · 0 repositories · arXiv:1602.04062
• Angrier Birds: Bayesian reinforcement learning
  6 Jan 2016 · 1 repository · arXiv:1601.01297
• How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
  7 Dec 2015 · 0 repositories · arXiv:1512.02011
• Deep Attention Recurrent Q-Network
  5 Dec 2015 · 3 repositories · arXiv:1512.01693
• State of the Art Control of Atari Games Using Shallow Reinforcement Learning
  4 Dec 2015 · 1 repository · arXiv:1512.01563
• Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions
  3 Dec 2015 · 0 repositories · arXiv:1512.01124
• Multiagent Cooperation and Competition with Deep Reinforcement Learning
  27 Nov 2015 · 4 repositories · arXiv:1511.08779
• Policy Distillation
  19 Nov 2015 · 1 repository · arXiv:1511.06295
• Prioritized Experience Replay
  18 Nov 2015 · 77 repositories · arXiv:1511.05952
  Syntology 80 ran (of which 62 constructed an object rather than computing a result; 72 with no instrument failure: 4 honoured, 0 violated, 68 with no contract checked; 8 where Syntology's instrument failed) · 31 unverified (of 111 harvested samples) · 43 pointer-only (licence)
• Deep Reinforcement Learning with a Natural Language Action Space
  14 Nov 2015 · 3 repositories · arXiv:1511.04636
• A disembodied developmental robotic agent called Samu Bátfai
  9 Nov 2015 · 15 repositories · arXiv:1511.02889
• Generating Text with Deep Reinforcement Learning
  30 Oct 2015 · 0 repositories · arXiv:1510.09202
• Deep Reinforcement Learning with Double Q-learning
  22 Sep 2015 · 97 repositories · arXiv:1509.06461
  Syntology 56 ran (of which 38 constructed an object rather than computing a result; 55 with no instrument failure: 0 honoured, 0 violated, 55 with no contract checked; 1 where Syntology's instrument failed) · 50 unverified (of 106 harvested samples) · 57 pointer-only (licence)
• Optimization of anemia treatment in hemodialysis patients via reinforcement learning
  14 Sep 2015 · 0 repositories · arXiv:1509.03977
• Continuous control with deep reinforcement learning
  9 Sep 2015 · 161 repositories · arXiv:1509.02971
  Syntology 163 ran (of which 126 constructed an object rather than computing a result; 152 with no instrument failure: 3 honoured, 0 violated, 149 with no contract checked; 11 where Syntology's instrument failed) · 143 unverified (of 306 harvested samples) · 163 pointer-only (licence)
• Artificial Prediction Markets for Online Prediction of Continuous Variables-A Preliminary Report
  11 Aug 2015 · 0 repositories · arXiv:1508.02681
• Massively Parallel Methods for Deep Reinforcement Learning
  15 Jul 2015 · 3 repositories · arXiv:1507.04296
• Online Transfer Learning in Reinforcement Learning Domains
  2 Jul 2015 · 0 repositories · arXiv:1507.00436
• Autonomous CRM Control via CLV Approximation with Deep Reinforcement Learning in Discrete and Continuous Action Space
  8 Apr 2015 · 0 repositories · arXiv:1504.01840
• Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
  1 Dec 2014 · 0 repositories
• Empirical Q-Value Iteration
  30 Nov 2014 · 0 repositories · arXiv:1412.0180
• Q-learning for Optimal Control of Continuous-time Systems
  11 Oct 2014 · 0 repositories · arXiv:1410.2954
• Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue
  4 Jul 2014 · 0 repositories · arXiv:1407.1291
• Personalized Medical Treatments Using Novel Reinforcement Learning Algorithms
  16 Jun 2014 · 0 repositories · arXiv:1406.3922
• Two Timescale Convergent Q-learning for Sleep--Scheduling in Wireless Sensor Networks
  27 Dec 2013 · 0 repositories · arXiv:1312.7292
• Playing Atari with Deep Reinforcement Learning
  19 Dec 2013 · 112 repositories · arXiv:1312.5602
  Syntology 64 ran (of which 24 constructed an object rather than computing a result; 46 with no instrument failure: 5 honoured, 0 violated, 41 with no contract checked; 18 where Syntology's instrument failed) · 53 unverified (of 117 harvested samples) · 56 pointer-only (licence)
• Q-learning optimization in a multi-agents system for image segmentation
  23 Nov 2013 · 0 repositories · arXiv:1311.6054
• Risk-sensitive Reinforcement Learning
  8 Nov 2013 · 0 repositories · arXiv:1311.2097
• Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs
  26 Sep 2013 · 0 repositories · arXiv:1309.6868
• Projective simulation for classical learning agents: a comprehensive investigation
  7 May 2013 · 0 repositories · arXiv:1305.1578
• Speedy Q-Learning
  1 Dec 2011 · 0 repositories
• Double Q-learning
  1 Dec 2010 · 0 repositories
• Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
  1 Dec 2009 · 0 repositories