Alternatives and similar repositories for BEAR

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

• Farama-Foundation / D4RL-Evaluations
  ☆203Updated 2 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆190Updated 3 years ago
• thanard / me-trpo
  ☆92Updated last year
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆129Updated 4 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆195Updated 2 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆217Updated 2 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆176Updated last year
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• justinjfu / inverse_rl
  ☆273Updated 7 years ago
• MadryLab / implementation-matters
  ☆132Updated last year
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆152Updated 4 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆198Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆181Updated 3 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆266Updated 5 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆97Updated 5 months ago
• implementation-matters / code-for-paper
  ☆113Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• ermongroup / multiagent-gail
  ☆85Updated 6 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆156Updated 7 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆96Updated 5 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆132Updated 7 years ago
• WilsonWangTHU / mbbl
  ☆398Updated 6 years ago
• ajlangley / cpo-pytorch
  An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
  ☆26Updated 5 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆76Updated 2 years ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆104Updated 3 years ago
• ermongroup / MA-AIRL
  Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
  ☆217Updated 6 years ago