Alternatives and similar repositories for Multi-Task-Batch-RL

Users that are interested in Multi-Task-Batch-RL are comparing it to the libraries listed below

• rraileanu / idaac
  ☆54Updated last year
• illidanlab / opolo-code
  ☆32Updated 4 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• henrycharlesworth / PlanGAN
  ☆17Updated 3 years ago
• russellmendonca / mier_public
  ☆13Updated 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
• shlee94 / Off2OnRL
  ☆58Updated 2 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 3 years ago
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 4 years ago
• RockySJ / ampo
  ☆15Updated 5 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆26Updated 4 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆55Updated 4 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
• namsan96 / SiMPL
  ☆48Updated 2 years ago
• rraileanu / policy-dynamics-value-functions
  ☆33Updated last year
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 5 years ago
• YangRui2015 / AWGCSL
  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
  ☆27Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• google-deepmind / active_ops
  ☆32Updated last year
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆31Updated 4 years ago
• matsuolab / BREMEN
  Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)
  ☆53Updated 4 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆40Updated 4 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago