Alternatives and similar repositories for DagstuhlGAN

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

• rubenrtorrado / GVGAI_GYM
  ☆106Updated 5 years ago
• rachit-dubey / humanRL_prior_games
  [ICML-18] Codes for the custom games we built to compare RL agents with humans
  ☆66Updated 7 years ago
• eyounx / RetroCodes
  Codes of our team for the OpenAI Retro Contest of reinforcement learning
  ☆99Updated 7 years ago
• apsdehal / gym-starcraft
  StarCraft: BroodWars OpenAI Gym environment
  ☆84Updated 6 years ago
• unixpickle / obs-tower2
  My solution to the Unity Obstacle Tower Challenge
  ☆136Updated 4 years ago
• facebookresearch / minirts
  We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce…
  ☆161Updated 4 years ago
• Bam4d / Neural-Game-Engine
  Code to reproduce Neural Game Engine experiments and pre-trained models
  ☆41Updated 3 years ago
• Unity-Technologies / obstacle-tower-challenge
  Starter Kit for the Unity Obstacle Tower challenge
  ☆119Updated 6 years ago
• TheVGLC / TheVGLC
  The Video Game Level Corpus
  ☆253Updated 5 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 6 years ago
• schaul / py-vgdl
  A video game description language (VGDL) built on top pf pygame.
  ☆158Updated 6 years ago
• lusob / gym-ple
  This package allows to use PLE as a gym environment.
  ☆72Updated 5 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 5 years ago
• amidos2006 / Mario-AI-Framework
  10th Anniversary Edition (Not endorsed by Nintendo)
  ☆114Updated 8 months ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆205Updated 6 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆309Updated 2 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• GAIGResearch / GVGAI
  ☆109Updated 3 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 8 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆166Updated 7 years ago
• Sohojoe / MujocoUnity
  Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
  ☆51Updated 10 months ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆402Updated 2 years ago
• openai / baselines-results
  ☆119Updated 5 years ago
• ppaquette / gym-doom
  Gym - Doom environments based on VizDoom.
  ☆103Updated 8 years ago
• aborghi / retro_contest_agent
  ☆29Updated 7 years ago
• pbontrager / GenerativePlayingNetworks
  Research Into Learning to Generate Game Levels through Play
  ☆30Updated 5 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