gsurma / atariLinks
AI research environment for the Atari 2600 games π€.
β259Updated 2 years ago
Alternatives and similar repositories for atari
Users that are interested in atari are comparing it to the libraries listed below
Sorting:
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retroβ175Updated 2 years ago
- List of competitions related to Reinforcement Learningβ350Updated last year
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.β371Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototypingβ301Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duelβ¦β682Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.β1,181Updated 2 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithmsβ302Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (β¦β475Updated last year
- PyTorch implementation of deep reinforcement learning algorithmsβ495Updated 3 years ago
- Solving OpenAI Gym problems.β186Updated 4 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of codeβ700Updated last year
- Structural implementation of RL key algorithmsβ514Updated 2 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interfaceβ384Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.β610Updated last year
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NESβ787Updated 2 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gymβ301Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).β713Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorchβ447Updated 3 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantaβ¦β188Updated 11 months ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problemsβ575Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorchβ349Updated 5 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...β414Updated 4 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learningβ761Updated last year
- Tools for accelerating safe exploration research.β551Updated 2 years ago
- Tensorflow implementation of Deepminds dqn with double dueling networksβ216Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environmentsβ320Updated 3 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environmentβ106Updated 6 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learningβ740Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official impβ¦β1,332Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 gamesβ553Updated 2 years ago