gsurma / atariLinks
AI research environment for the Atari 2600 games 🤖.
☆257Updated 3 years ago
Alternatives and similar repositories for atari
Users that are interested in atari are comparing it to the libraries listed below
Sorting:
- List of competitions related to Reinforcement Learning☆349Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆686Updated 4 years ago
- 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.☆374Updated 2 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆305Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated last year
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆619Updated last year
- An RL agent for the Google Football environment☆96Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆548Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆576Updated 2 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆388Updated 2 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆191Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆722Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 3 years ago
- A PyTorch library for building deep reinforcement learning agents.☆652Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,187Updated 3 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆480Updated last year
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆556Updated 2 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆262Updated 5 years ago
- Tools for accelerating safe exploration research.☆564Updated 2 years ago
- Solving OpenAI Gym problems.☆187Updated 4 years ago
- Coding Demos from the School of AI's Move37 Course☆183Updated 6 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 7 years ago
- ☆305Updated 2 years ago