Alternatives and similar repositories for gym-starcraft:

Users that are interested in gym-starcraft are comparing it to the libraries listed below

• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆93Updated 6 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 6 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 6 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆165Updated 7 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆275Updated 4 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆175Updated 7 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆207Updated 6 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆108Updated 3 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆51Updated 7 years ago
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆203Updated 4 years ago
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆52Updated 7 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• tpbarron / pytorch-ppo
  Proximal Policy Optimization in PyTorch
  ☆39Updated 7 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆146Updated last year
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆235Updated 2 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆132Updated 5 years ago
• lusob / gym-ple
  This package allows to use PLE as a gym environment.
  ☆72Updated 4 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆181Updated 7 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 4 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆130Updated last year
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 6 months ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆197Updated 6 years ago
• BorealisAI / pommerman-baseline
  Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
  ☆37Updated 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