Alternatives and similar repositories for reward-surfaces

Users that are interested in reward-surfaces are comparing it to the libraries listed below

• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆26Updated 2 years ago
• ikostrikov / jaxrl2
  ☆46Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆50Updated last month
• 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
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆18Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆107Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• qlan3 / Jaxplorer
  Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.
  ☆13Updated last year
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆50Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆85Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• Lifelong-ML / offline-compositional-rl-datasets
  ☆18Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• zhaoyi11 / tcrl
  ☆24Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆43Updated 2 years ago
• facebookresearch / bipedal-skills
  Bipedal Skills Benchmark for Reinforcement Learning
  ☆25Updated 2 years ago
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆11Updated last year
• NagisaZj / MetaCURE-Public
  ☆16Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated last month
• pcchenxi / LAPO-offlienRL
  ☆15Updated 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
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆50Updated 3 years ago
• hwang-ua / inac_pytorch
  ☆19Updated 2 years ago
• seohongpark / LSD
  Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)
  ☆37Updated 2 years ago