An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Pytorch Ddpg Naf
Implementation of algorithms for continuous control (DDPG and NAF).
A life simulation for exploring social dynamics
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
RL Notation and Pseudocode for Udacity's MLND program
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
A student implementation of Alpha Go Zero
Reinforcement learning with A* and a deep heuristic
我的强化学习笔记和学习材料📖 still updating ... ...
Awesome Real World Rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Machine Learning Uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Implementations of Reinforcement Learning and Planning algorithms
Deep Rl Trading
playing idealized trading games with deep reinforcement learning
A fast Evolution Strategy implementation in Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
A collection of multi agent environments based on OpenAI gym.
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Bayesian Reinforcement Learning in Tensorflow
ns3-gym - The Playground for Reinforcement Learning in Networking Research
Reinforcement Learning in Go
Input Convex Neural Networks
Framework and OpenAI Gym Environment for Autonomous Vehicle Development
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Classic papers and resources on recommendation
PyTorch Implementation of REINFORCE for both discrete & continuous control
A universal flight control tuning framework
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Pytorch A2c Ppo Acktr Gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Rl Tutorial Jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
An environment to high-frequency trading agents under reinforcement learning
Meandering In Networks of Entities to Reach Verisimilar Answers
Code for the paper "Evolved Policy Gradients"
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Alpha Zero General
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Deep Reinforcement Learning for de-novo Drug Design