Alternatives and similar repositories for Stabilizing-Off-Policy-RL

Users that are interested in Stabilizing-Off-Policy-RL are comparing it to the libraries listed below

• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆147Updated 2 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• nicklashansen / dmcontrol-generalization-benchmark
  DMControl Generalization Benchmark
  ☆173Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆84Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆104Updated last year
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆26Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 3 years ago
• UtkarshMishra04 / pixel-representations-RL
  This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learni…
  ☆14Updated 2 years ago
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆44Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆149Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆19Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆107Updated 2 years ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆132Updated 2 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆130Updated 3 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• esteveste / dreamerV2-pytorch
  Pytorch implementation of DreamerV2: Mastering Atari with Discrete World Models, based on the original implementation
  ☆20Updated 3 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago