Alternatives and similar repositories for dm2gym:

Users that are interested in dm2gym are comparing it to the libraries listed below

• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆68Updated 5 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• georgesung / TD3
  Benchmarking TD3 and DDPG on PyBullet
  ☆53Updated 5 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆149Updated 4 years ago
• WilsonWangTHU / POPLIN
  ☆98Updated 2 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• flowersteam / teachDeepRL
  ☆86Updated 3 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆131Updated last year
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• google-deepmind / dm_hard_eight
  ☆85Updated 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".
  ☆61Updated last year
• justinjfu / doodad
  A job launching library for docker, EC2, GCP, etc.
  ☆57Updated 3 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆215Updated 11 months ago
• GOAL-Robots / REALCompetitionStartingKit
  ☆35Updated 5 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆145Updated 7 years ago
• spitis / mrl
  ☆112Updated 2 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago