Alternatives and similar repositories for dmc2gym

Users that are interested in dmc2gym are comparing it to the libraries listed below

• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 4 months ago
• juliusfrost / dreamer-pytorch
  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
  ☆303Updated last year
• nicklashansen / dmcontrol-generalization-benchmark
  DMControl Generalization Benchmark
  ☆169Updated last year
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆189Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆196Updated 2 years ago
• rll-research / url_benchmark
  ☆344Updated 2 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆278Updated 3 years ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆239Updated 5 years ago
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆217Updated 2 years ago
• spitis / mrl
  ☆112Updated 2 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆161Updated 3 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆131Updated last year
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆370Updated 3 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆125Updated 3 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆179Updated 3 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• clvrai / spirl
  Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
  ☆208Updated last year
• google-research / dads
  Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…
  ☆190Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆156Updated 2 months ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆102Updated 2 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆189Updated 2 years ago
• ramanans1 / plan2explore
  Repository for the paper "Planning to Explore via Self-Supervised World Models"
  ☆221Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆168Updated 3 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆114Updated 3 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆137Updated 2 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆147Updated 3 years ago
• SamsungLabs / tqc_pytorch
  Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/
  ☆97Updated 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 2 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆168Updated 6 months ago