Alternatives and similar repositories for FOCAL-ICLR

Users that are interested in FOCAL-ICLR are comparing it to the libraries listed below

• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 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
• rraileanu / idaac
  ☆54Updated last year
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 2 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆35Updated 2 years ago
• shidilrzf / Anti-exploration-RL
  Anti exploration in offline reinforcement learning
  ☆9Updated 4 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆32Updated 7 months ago
• shlee94 / Off2OnRL
  ☆56Updated 2 years ago
• Stilwell-Git / Randomized-Return-Decomposition
  TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
  ☆19Updated 3 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆58Updated last year
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆28Updated 2 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• jiangsy / mbpo_pytorch
  ☆29Updated 3 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• MouseHu / GEM
  ☆14Updated 4 years ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆27Updated 3 years ago
• lanyavik / BAIL
  ☆17Updated 3 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 2 years ago
• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 3 years ago
• 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
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆175Updated 3 years ago
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆70Updated 2 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆114Updated 3 years ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆19Updated 8 months ago