Alternatives and similar repositories for EC

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

• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 4 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 4 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆16Updated last week
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• hiwonjoon / ICML2019-TREX
  ☆84Updated 4 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 5 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆85Updated 3 years ago
• yusukeurakami / plan2explore-pytorch
  ☆43Updated 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 …
  ☆91Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 4 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
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆35Updated 5 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 6 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆94Updated last year
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆58Updated 3 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 4 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆81Updated 3 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• chamorajg / pl-dreamer
  Simplistic Pytorch Implementation of the Dreamer-RL
  ☆20Updated 5 months ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 6 years ago