Alternatives and similar repositories for episodic-curiosity

Users that are interested in episodic-curiosity are comparing it to the libraries listed below

• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆276Updated 5 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…
  ☆239Updated 2 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆209Updated 6 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
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆203Updated 6 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆207Updated 4 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆249Updated 6 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆370Updated 3 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆190Updated 6 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆178Updated 7 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated last year
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆252Updated 6 years ago
• denisyarats / drq
  DrQ: Data regularized Q
  ☆416Updated 2 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆268Updated 6 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆306Updated 2 years ago
• Breakend / gym-extensions
  This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…
  ☆217Updated 6 years ago
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆138Updated last year
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• mila-iqia / atari-representation-learning
  Code for "Unsupervised State Representation Learning in Atari"
  ☆251Updated last year
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆171Updated 4 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆153Updated 3 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆149Updated 2 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆132Updated 6 years ago
• rgilman33 / simple-A2C-PPO
  Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
  ☆101Updated 5 years ago
• greydanus / visualize_atari
  Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
  ☆121Updated 3 years ago
• dbobrenko / awesome-rl
  Awesome RL: Papers, Books, Codes, Benchmarks
  ☆116Updated last year