Methods › Reinforcement Learning › Policy Gradient Methods › TD3 › Papers, page 2

Twin Delayed Deep Deterministic

TD3

Papers archive 2025-07-28

archive papers tagged: 117 · with a code link: 46 · where Syntology ran a sample: 18 (17 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (18 of 117 tagged: 17 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 117 of 117, 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.

• Hindsight Experience Replay with Kronecker Product Approximate Curvature
  9 Oct 2020 · 0 repositories · arXiv:2010.06142
• Sample-Efficient Automated Deep Reinforcement Learning
  3 Sep 2020 · 1 repository · arXiv:2009.01555
  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)
• Collision Avoidance Robotics Via Meta-Learning (CARML)
  16 Jul 2020 · 1 repository · arXiv:2007.08616
• Some approaches used to overcome overestimation in Deep Reinforcement Learning algorithms
  25 Jun 2020 · 0 repositories · arXiv:2006.14167
• WD3: Taming the Estimation Bias in Deep Reinforcement Learning
  18 Jun 2020 · 0 repositories · arXiv:2006.12622
• Smooth Exploration for Robotic Reinforcement Learning
  12 May 2020 · 4 repositories · arXiv:2005.05719
  Syntology community repositories only · 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)
• PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
  24 Apr 2020 · 0 repositories · arXiv:2004.11667
• Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
  22 Apr 2020 · 1 repository · arXiv:2004.10888
• Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
  11 Mar 2020 · 1 repository · arXiv:2003.05334
  Syntology official (archive's flag): 6 ran · 6 ran (of which 6 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) · 0 unverified; every one of the 6 samples that ran constructed an object rather than computing a result (of 6 harvested samples) · 6 pointer-only (licence)
• 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)
• Ctrl-Z: Recovering from Instability in Reinforcement Learning
  9 Oct 2019 · 0 repositories · arXiv:1910.03732
• Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
  30 Sep 2019 · 0 repositories · arXiv:1909.13518
• Proximal Distilled Evolutionary Reinforcement Learning
  24 Jun 2019 · 1 repository · arXiv:1906.09807
  Syntology official (archive's flag): 6 ran · 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) · 0 unverified (of 6 harvested samples)
• Exploring Model-based Planning with Policy Networks
  20 Jun 2019 · 1 repository · arXiv:1906.08649
• Collaborative Evolutionary Reinforcement Learning
  2 May 2019 · 1 repository · arXiv:1905.00976
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
• CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
  14 Feb 2019 · 5 repositories · arXiv:1902.05605
• Addressing Function Approximation Error in Actor-Critic Methods
  26 Feb 2018 · 67 repositories · arXiv:1802.09477
  Syntology community repositories only · 26 ran (of which 0 constructed an object rather than computing a result; 25 with no instrument failure: 1 honoured, 1 violated, 23 with no contract checked; 1 where Syntology's instrument failed) · 10 unverified (of 36 harvested samples) · 21 pointer-only (licence)