Alternatives and similar repositories for ESRL

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

• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• jiangsy / mbpo_pytorch
  ☆30Updated 3 years ago
• lanyavik / BAIL
  ☆18Updated 3 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆48Updated 4 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆38Updated 7 months ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆51Updated 2 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆50Updated 4 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• shidilrzf / Anti-exploration-RL
  Anti exploration in offline reinforcement learning
  ☆10Updated 4 years ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆43Updated 4 years ago
• nuria95 / O-RAAC
  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting
  ☆35Updated 4 years ago
• jiangsy / slbo_pytorch
  ☆15Updated 5 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆43Updated 4 years ago
• shlee94 / Off2OnRL
  ☆57Updated 2 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆40Updated last year
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• sparkmxy / my-offlinerl
  ☆25Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• MadryLab / implementation-matters
  ☆131Updated last year
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆63Updated 2 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆37Updated 2 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆103Updated 3 years ago
• GRAAL-Research / OfflineRLReadingGroup
  Offline Reinforcement Learning Reading Group
  ☆28Updated 2 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆49Updated last year