Alternatives and similar repositories for lirpg

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

• thanard / me-trpo
  ☆91Updated last year
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• rraileanu / idaac
  ☆53Updated last year
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆73Updated 2 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆64Updated 5 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆16Updated 5 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 5 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• spitis / mrl
  ☆112Updated 2 years ago
• FangchenLiu / SAIL
  Code for Paper "State Alignment-based Imitation Learning". Under maintenance
  ☆17Updated 5 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆46Updated 3 years ago