Alternatives and similar repositories for natural_rl_environment

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

• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆103Updated 2 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 5 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 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
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• eilab-gt / NovGrid
  Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …
  ☆35Updated last year
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 5 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆47Updated 2 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆79Updated 3 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆152Updated 4 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆80Updated last year
• google-research / clevr_robot_env
  CLEVR-Robot: a reinforcement learning environment combining vision, language and control.
  ☆138Updated last year
• google-research / deep_ope
  ☆89Updated last year
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 3 years ago
• danijar / ninjax
  General Modules for JAX
  ☆72Updated 3 months ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆85Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆46Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• koulanurag / mmn
  Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
  ☆51Updated 3 years ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆108Updated 3 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆88Updated 6 years ago
• ucl-dark / skillhack
  SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
  ☆17Updated 3 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago