Alternatives and similar repositories for BEAR

Users that are interested in BEAR are comparing it to the libraries listed below

• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 4 years ago
• RchalYang / RLPaperList
  Personal Repo to keep track of RL papers
  ☆31Updated 4 years ago
• lanyavik / BAIL
  ☆18Updated 3 years ago
• davidbrandfonbrener / onestep-rl
  ☆44Updated 4 years ago
• jiangsy / mbpo_pytorch
  ☆30Updated 3 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆55Updated 2 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• wangyuhuix / TRGPPO
  ☆33Updated 3 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆16Updated 6 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 3 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 6 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆52Updated 5 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆72Updated 2 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆130Updated last year
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆59Updated 3 years ago
• rraileanu / idaac
  ☆54Updated last year
• RockySJ / ampo
  ☆15Updated 5 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• MadryLab / implementation-matters
  ☆134Updated last year
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆191Updated 3 years ago
• PKU-RL / Literature
  ☆108Updated 4 years ago
• jiangsy / slbo_pytorch
  ☆15Updated 5 years ago
• thanard / me-trpo
  ☆92Updated 2 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆163Updated 5 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆79Updated 3 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 3 years ago
• KAIST-AILab / imitation-dice
  ☆17Updated last year
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• staghuntrpg / RPG
  This is the source code of RPG (Reward-Randomized Policy Gradient)
  ☆42Updated 3 years ago