Alternatives and similar repositories for MetaIRL

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

• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆49Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• thanard / me-trpo
  ☆92Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 6 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆48Updated 6 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 4 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆96Updated 6 years ago
• illidanlab / opolo-code
  ☆32Updated 4 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆35Updated 6 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
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆27Updated 6 years ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆40Updated 4 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆156Updated 4 years ago
• ermongroup / multiagent-gail
  ☆85Updated 7 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• russellmendonca / maesn_suite
  ☆44Updated 7 years ago
• tgangwani / RL-Indirect-imitation
  Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)
  ☆20Updated 5 years ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated 2 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆35Updated 7 years ago