Alternatives and similar repositories for CausalWorld

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

• spitis / mrl
  ☆114Updated 2 years ago
• rll-research / url_benchmark
  ☆359Updated 3 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆78Updated 2 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆226Updated last year
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• google-research / dads
  Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…
  ☆191Updated 4 years ago
• huangwl18 / modular-rl
  [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
  ☆231Updated 3 years ago
• clvrai / spirl
  Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
  ☆218Updated 2 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆162Updated 4 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆202Updated 2 years ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆82Updated 3 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 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
• nicklashansen / dmcontrol-generalization-benchmark
  DMControl Generalization Benchmark
  ☆187Updated 2 years ago
• facebookresearch / mtrl
  Multi Task RL Baselines
  ☆258Updated 4 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆155Updated 4 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆191Updated 3 years ago
• google-research / deep_ope
  ☆89Updated last year
• apexrl / Imitation-Learning-Paper-Lists
  Paper Collection for Imitation Learning in RL.
  ☆152Updated 3 years ago
• awarelab / continual_world
  ☆109Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆153Updated 5 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆194Updated 3 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆156Updated 7 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆123Updated 3 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆152Updated 4 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated 2 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆100Updated 5 years ago
• Stanford-ILIAD / APReL
  A Library for Active Preference-based Reward Learning Algorithms
  ☆53Updated 2 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆64Updated 6 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆52Updated 4 years ago