Alternatives and similar repositories for mbpo_pytorch:

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

• jiangsy / slbo_pytorch
  ☆15Updated 4 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆52Updated last year
• rraileanu / idaac
  ☆53Updated last year
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆23Updated last year
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• YangRui2015 / RORL
  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
  ☆19Updated 2 years ago
• shlee94 / Off2OnRL
  ☆55Updated 2 years ago
• tianxusky / Code-for-Error-Bounds-of-Imitating-Policies-and-Environments
  ☆10Updated 4 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆167Updated 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
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆52Updated 3 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
• Hwhitetooth / lirpg
  ☆61Updated 6 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• MouseHu / GEM
  ☆14Updated 3 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 3 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• lanyavik / BAIL
  ☆17Updated 2 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
• AIDefender / MyDiscor
  Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"
  ☆13Updated 3 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆54Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆74Updated 4 months ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆56Updated 2 years ago