Alternatives and similar repositories for minerl-docker

Users that are interested in minerl-docker are comparing it to the libraries listed below

• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• spitis / mrl
  ☆112Updated 2 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆68Updated 5 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆161Updated 3 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆215Updated 11 months ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆131Updated last year
• aravindsrinivas / curl_rainbow
  ☆53Updated 4 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆86Updated 5 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆71Updated 3 years ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆78Updated 3 years ago
• jinnaiyuu / Optimal-Options-ICML-2019
  Code for generating options for planning and reinforcement learning
  ☆12Updated 4 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆15Updated 3 years ago
• snasiriany / leap
  Official codebase for LEAP: Planning with Goal Conditioned Policies
  ☆50Updated 2 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".
  ☆61Updated last year
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 4 months ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆149Updated 4 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆81Updated 2 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 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
• mila-iqia / atari-representation-learning
  Code for "Unsupervised State Representation Learning in Atari"
  ☆250Updated last year
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆145Updated 7 years ago