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
• 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
• 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
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated last year
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆62Updated 5 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆214Updated 10 months ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆96Updated 4 years ago
• georgesung / TD3
  Benchmarking TD3 and DDPG on PyBullet
  ☆53Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆98Updated 2 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• WilsonWangTHU / neural_graph_evolution
  ☆47Updated 2 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 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
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• araffin / srl-zoo
  State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
  ☆163Updated 5 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆149Updated 4 years ago
• sharadmv / parasol
  ☆68Updated 3 years ago
• russellmendonca / maesn_suite
  ☆42Updated 6 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• tshrjn / env-zoo
  A curated list of reinforcement learning environments and frameworks.
  ☆50Updated 6 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆130Updated last year
• flowersteam / teachDeepRL
  ☆85Updated 3 years ago