Alternatives and similar repositories for atari-representation-learning

Users that are interested in atari-representation-learning are comparing it to the libraries listed below

• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆268Updated 6 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆372Updated 4 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆244Updated 3 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆209Updated 6 years ago
• denisyarats / drq
  DrQ: Data regularized Q
  ☆417Updated 2 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆156Updated 7 years ago
• kenjyoung / MinAtar
  ☆316Updated 10 months ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆223Updated last year
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆181Updated 8 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• ramanans1 / plan2explore
  Repository for the paper "Planning to Explore via Self-Supervised World Models"
  ☆226Updated 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…
  ☆190Updated 4 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆161Updated 3 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆153Updated 5 years ago
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆55Updated 8 years ago
• openai / train-procgen
  Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
  ☆178Updated 2 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago
• MishaLaskin / curl
  CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
  ☆595Updated 5 years ago
• implementation-matters / code-for-paper
  ☆113Updated 5 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆137Updated 3 years ago
• uber-research / atari-model-zoo
  A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…
  ☆202Updated 5 years ago
• nicklashansen / policy-adaptation-during-deployment
  Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
  ☆113Updated 4 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 9 months ago
• seungjaeryanlee / rldb
  Performances of Reinforcement Learning Agents
  ☆53Updated 5 years ago
• MishaLaskin / rad
  RAD: Reinforcement Learning with Augmented Data
  ☆415Updated 4 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆256Updated 6 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• rll-research / url_benchmark
  ☆355Updated 3 years ago