Methods › Reinforcement Learning › Offline Reinforcement Learning Methods › IQL

Implicit Q-Learning

IQL

16 papers tagged archive 2025-07-28

Introduced by Ilya Kostrikov et al. in Offline Reinforcement Learning with Implicit Q-Learning

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

Papers archive 2025-07-28

16 shown of 16, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

• Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
  15 Jan 2025 · 0 repositories · arXiv:2501.08907
• Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
  3 Dec 2024 · 0 repositories · arXiv:2412.02057
• Hypercube Policy Regularization Framework for Offline Reinforcement Learning
  7 Nov 2024 · 1 repository · arXiv:2411.04534
• Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
  17 Jul 2024 · 1 repository · arXiv:2407.12448
  Syntology ran 9 of 11 samples · 2 unverified · 11 pointer-only (licence)
• Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression
  28 May 2024 · 1 repository · arXiv:2405.20351
• AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization
  28 May 2024 · 1 repository · arXiv:2405.18187
• Simple Ingredients for Offline Reinforcement Learning
  19 Mar 2024 · 0 repositories · arXiv:2403.13097
• Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
  10 Jan 2024 · 0 repositories · arXiv:2401.05572
• Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
  19 Oct 2023 · 2 repositories · arXiv:2310.12955
  Syntology ran 5 of 9 samples · 4 unverified · 9 pointer-only (licence)
• Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
  18 Oct 2023 · 0 repositories · arXiv:2310.11731
• Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
  22 Jun 2023 · 1 repository · arXiv:2306.13085
• Decoupled Prioritized Resampling for Offline RL
  8 Jun 2023 · 2 repositories · arXiv:2306.05412
  Syntology ran 0 of 1 samples · 1 unverified
• IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
  20 Apr 2023 · 1 repository · arXiv:2304.10573
  Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
• Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
  28 Mar 2023 · 4 repositories · arXiv:2303.15810
  Syntology ran 1 of 3 samples · 2 unverified
• MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
  17 Sep 2022 · 0 repositories · arXiv:2209.08244
• Offline Reinforcement Learning with Implicit Q-Learning
  12 Oct 2021 · 17 repositories · arXiv:2110.06169
  Syntology ran 32 of 58 samples · 26 unverified · 22 pointer-only (licence)

Tasks archive 2025-07-28

18 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Usage over time archive 2025-07-28

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections