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
  ☆53Updated 2 years ago
• lanyavik / BAIL
  ☆18Updated 3 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• jiangsy / mbpo_pytorch
  ☆30Updated 3 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
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆46Updated 3 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆38Updated 2 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
• jiangsy / slbo_pytorch
  ☆15Updated 5 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆40Updated 10 months ago
• CR-Gjx / RIA
  TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…
  ☆16Updated 3 years ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆45Updated 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
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆46Updated 4 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• davidbrandfonbrener / onestep-rl
  ☆44Updated 4 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆47Updated 3 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• shlee94 / Off2OnRL
  ☆58Updated 2 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆51Updated 3 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆190Updated 3 years ago
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 4 years ago
• rraileanu / idaac
  ☆54Updated last year
• shidilrzf / Anti-exploration-RL
  Anti exploration in offline reinforcement learning
  ☆11Updated 4 years ago
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆72Updated 2 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• wangzizhao / CausalDynamicsLearning
  ☆34Updated 3 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆79Updated 3 years ago