Alternatives and similar repositories for SEPT:

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

• 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
• davidbrandfonbrener / onestep-rl
  ☆41Updated 3 years ago
• russellmendonca / maesn_suite
  ☆41Updated 6 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 4 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated last year
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆67Updated 5 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆71Updated last year
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆17Updated 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
• mcmachado / count_based_exploration_sr
  ☆30Updated 5 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 4 years ago
• hiwonjoon / ICML2019-TREX
  ☆81Updated 3 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆62Updated 4 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆85Updated 3 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆25Updated 5 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 5 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 2 years ago
• KamyarGh / rl_swiss
  ☆66Updated 4 years ago
• lerrel / gym-adv
  Gym environments modified with adversarial agents
  ☆35Updated 7 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 5 years ago