Methods › Reinforcement Learning › Replay Memory › Prioritized Experience Replay › Papers, page 2

Prioritized Experience Replay

Papers archive 2025-07-28

archive papers tagged: 138 · with a code link: 61 · where Syntology ran a sample: 19 (17 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (19 of 138 tagged: 17 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 138 of 138, 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.

• A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly
  15 Oct 2020 · 0 repositories · arXiv:2010.08052
• A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
  24 Sep 2020 · 0 repositories · arXiv:2009.11905
• Understanding and Mitigating the Limitations of Prioritized Experience Replay
  19 Jul 2020 · 2 repositories · arXiv:2007.09569
• Learning to Sample with Local and Global Contexts in Experience Replay Buffer
  14 Jul 2020 · 0 repositories · arXiv:2007.07358
• SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  9 Jul 2020 · 1 repository · arXiv:2007.04938
• Double Prioritized State Recycled Experience Replay
  8 Jul 2020 · 0 repositories · arXiv:2007.03961
• The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
  7 Jul 2020 · 2 repositories · arXiv:2007.03158
  Syntology official (archive's flag): 1 ran · 1 ran (of which 1 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) · 1 unverified; the one sample that ran constructed an object rather than computing a result (of 2 harvested samples)
• Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning
  26 Jun 2020 · 0 repositories · arXiv:2006.15138
• Continuous Control for Searching and Planning with a Learned Model
  12 Jun 2020 · 0 repositories · arXiv:2006.07430
• Balancing a CartPole System with Reinforcement Learning -- A Tutorial
  8 Jun 2020 · 0 repositories · arXiv:2006.04938
• Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration
  30 May 2020 · 1 repository · arXiv:2006.00283
• STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
  21 Apr 2020 · 0 repositories · arXiv:2004.09783
• Dynamic Experience Replay
  4 Mar 2020 · 0 repositories · arXiv:2003.02372
• Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications
  27 Feb 2020 · 0 repositories · arXiv:2002.12271
• Fast Reinforcement Learning for Anti-jamming Communications
  13 Feb 2020 · 0 repositories · arXiv:2002.05364
• Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks
  24 Jan 2020 · 0 repositories · arXiv:2001.09223
• Sample-based Distributional Policy Gradient
  8 Jan 2020 · 0 repositories · arXiv:2001.02652
• Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning
  24 Nov 2019 · 0 repositories · arXiv:1911.10521
• Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
  19 Nov 2019 · 18 repositories · arXiv:1911.08265
  Syntology 43 ran (of which 36 constructed an object rather than computing a result; 43 with no instrument failure: 4 honoured, 0 violated, 39 with no contract checked; 0 where Syntology's instrument failed) · 21 unverified (of 64 harvested samples) · 62 pointer-only (licence)
• Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
  19 Nov 2019 · 0 repositories · arXiv:1911.08111
• Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing
  10 Nov 2019 · 0 repositories · arXiv:1911.03887
• Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
  27 Oct 2019 · 1 repository · arXiv:1910.12354
• Google Research Football: A Novel Reinforcement Learning Environment
  25 Jul 2019 · 1 repository · arXiv:1907.11180
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 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) · 0 unverified (of 4 harvested samples)
• Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration
  18 Jul 2019 · 0 repositories · arXiv:1907.07847
• Prioritized Sequence Experience Replay
  25 May 2019 · 0 repositories · arXiv:1905.12726
• Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
  30 Apr 2019 · 0 repositories · arXiv:1904.13255
• TF-Replicator: Distributed Machine Learning for Researchers
  1 Feb 2019 · 1 repository · arXiv:1902.00465
  Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Macro action selection with deep reinforcement learning in StarCraft
  2 Dec 2018 · 1 repository · arXiv:1812.00336
• An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
  9 Jul 2018 · 24 repositories · arXiv:1807.03247
  Syntology community repositories only · 5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
• Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems
  1 Jun 2018 · 0 repositories · arXiv:1806.00553
• Advances in Experience Replay
  15 May 2018 · 1 repository · arXiv:1805.05536
• Distributed Distributional Deterministic Policy Gradients
  23 Apr 2018 · 5 repositories · arXiv:1804.08617
• Distributed Prioritized Experience Replay
  2 Mar 2018 · 15 repositories · arXiv:1803.00933
  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) · 6 unverified (of 15 harvested samples) · 3 pointer-only (licence)
• ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
  3 Jan 2018 · 0 repositories · arXiv:1801.00904
• ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling
  3 Jan 2018 · 0 repositories · arXiv:1801.01000
• Rainbow: Combining Improvements in Deep Reinforcement Learning
  6 Oct 2017 · 34 repositories · arXiv:1710.02298
  Syntology 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples) · 1 pointer-only (licence)
• A novel DDPG method with prioritized experience replay
  1 Oct 2017 · 1 repository
• 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)