7120 Open source projects that are alternatives of or similar to Reinforcement Learning

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Repo for the Deep Reinforcement Learning Nanodegree program

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

☔ Deep RL agents with PyTorch☔

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

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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.

RAD: Reinforcement Learning with Augmented Data

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Grokking Deep Reinforcement Learning

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

A PyTorch library for building deep reinforcement learning agents.

RLgraph: Modular computation graphs for deep reinforcement learning

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

Modularized Implementation of Deep RL Algorithms in PyTorch

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).

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Minimal and Clean Reinforcement Learning Examples

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..

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

A course in reinforcement learning in the wild

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

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

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

juliareinforcementlearning.org/

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Master Thesis: Limit order placement with Reinforcement Learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

playing idealized trading games with deep reinforcement learning

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Teach a Quadcopter How to Fly!

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

No description or website provided.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Multiple implementations for abstractive text summurization , using google colab

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Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

PyTorch implementation of Soft Actor-Critic (SAC)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

DrQ: Data regularized Q

Our NIPS 2017: Learning to Run source code

Some notebooks

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

60_Days_RL_Challenge中文版