371 Open source projects that are alternatives of or similar to RL

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Reinforcement Learning in Vrep

Play Google Chrome's T-rex game with TensorFlow

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

DEEp Reinforcement learning framework

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

A deep reinforcement learning bot that plays tetris

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

playing idealized trading games with deep reinforcement learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Combining deep learning and reinforcement learning.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

A high-level framework for advanced deep learning with TensorFlow

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Learning Continuous Control in Deep Reinforcement Learning

Cloud-native Financial Reinforcement Learning

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

An out-of-the-box GUI tool for offline deep reinforcement learning

A Real-Time-Strategy game for Deep Learning research

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

A curated list of resources about Machine Learning for Robotics

Mario AI Ensemble

使用深度强化学习解决视觉跟踪和视觉导航问题

A framework for multi-agent reinforcement learning.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Eagerly Experimentable!!!

PyTorch implementation of the implicit Q-learning algorithm (IQL)

3D RL Volleyball environment built on Unity ML-Agents

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Revisiting Rainbow

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

High-speed Autonomous Drifting with Deep Reinforcement Learning

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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