Alternatives and similar repositories for rl-exploration

Users that are interested in rl-exploration are comparing it to the libraries listed below

• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• hiwonjoon / ICML2019-TREX
  ☆84Updated 4 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆82Updated 6 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆97Updated 7 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• 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
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆35Updated 6 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago