Alternatives and similar repositories for e-maml

Users that are interested in e-maml are comparing it to the libraries listed below

• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆89Updated 4 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 4 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 5 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• alexlioralexli / rllab-finetuning
  ☆30Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 6 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆17Updated 4 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆153Updated 7 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆93Updated last year
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• google-deepmind / active_ops
  ☆32Updated last year
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆47Updated last year
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 3 years ago