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Top 962 reinforcement-learning open source projects

SeaPearl.jl
Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
CloudSimPy
CloudSimPy: Datacenter job scheduling simulation framework
CDS
[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
pong-from-pixels
Training a Neural Network to play Pong from pixels
MetaGym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
RAS
AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
Deep-Learning-Pytorch
A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
mpo
PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
cups-rl
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
alphazero
Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules
cytonRL
reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay
offline rl
Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.
Street-fighter-A3C-ICM-pytorch
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
yz-ai.github.io
Derin Öğrenme, Bilgisayarlı Görü, Doğal Dil İşleme ve Pekiştirmeli Öğrenme alanlarındaki uygulama, akademik yayınlar, eğitici kaynaklar ve blog yazılarını bulacağınız yapay öğrenme platformu.
Implicit-Q-Learning
PyTorch implementation of the implicit Q-learning algorithm (IQL)
ml gallery
This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.
RL-FlappyBird
Using reinforcement learning to train FlappyBird.
pytorch-gym
Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch
frozenlake
Value & Policy Iteration for the frozenlake environment of OpenAI
DeepCubeA
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
Multiagent-RL
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
gym-R
An R package providing access to the OpenAI Gym API
LearnSnake
🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)
AlphaGo.jl
AlphaGo Zero implementation using Flux.jl
Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
gym-mtsim
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
rlqp
Accelerating Quadratic Optimization with Reinforcement Learning
mario
Super Mario Reinforcement Learning from Demonstration
PGMORL
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
poke.AI
An experimental AI that plays the 3rd gen Pokemon games - Winner of Judge's Choice Award for NUS Orbital Project
nips rl
Code for NIPS 2017 learning to run challenge
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