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Top 962 reinforcement-learning open source projects

gym-forest
Reinforcement learning environment for the classical synthesis of quantum programs.
rl-resources
A curated collection of reinforcement learning resources
RL-based-Graph2Seq-for-NQG
Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
Deep-Q-Networks
Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
AdaptivePELE
AdaptivePELE is a Python package aimed at enhancing the sampling of molecular simulations
deep-rl-quadcopter
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
Quadcopter multi
(Complete). An open-architecture multi-agent quadcopter simulator. We implement a few modern techniques for improving the performance of aerial vehicles, including reinforcement learning and shifting planar inequalities for obstacle avoidance.
rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
model-free-algorithms
TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
MDPN
Unified notation for Markov Decision Processes PO(MDP)s
Q-Snake
A Q-learning web visualizer for Snake built with React
MalmoRL
A framework for training Reinforcement Learning agents in Minecraft with Project Malmö
Rainbow
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
ml-playground
Simple and easy-to-understand ml algorithm implementations
Hierarchical-Decision-Making-for-Autonomous-Driving
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
rocket-league-gym
A Gym-like environment for Reinforcement Learning in Rocket League
safe-exploration
Safe Exploration with MPC and Gaussian process models
Reinforcement-Learning-In-Motion
Code repository for my course on the fundamentals of reinforcement learning
HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
Reinforcement Learning Course
Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.
myGym
myGym is suitable for fast prototyping of neural networks in the area of robotic manipulation and navigation. Our toolbox is fully modular, so that you can train your network with different robots, in several environments and on various tasks. You can also create a curriculum of tasks with increasing complexity and test your network on them. We …
intro rl
An Introduction to Reinforcement Learning
gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
learning
Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python
Underflow
With underflow, create trafic light clusters that interact together to regulate circulation
deepbots
A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.
korali
High-performance framework for uncertainty quantification, optimization and reinforcement learning.
es pytorch
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Deep-Reinforcement-Learning-for-Boardgames
Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.
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