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

Reinforcement learning tutorials

PyTorch C++ Reinforcement Learning

Implementations of Reinforcement Learning Models in Tensorflow

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Reinforcement Learning Algorithms

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

Highly Modular and Scalable Reinforcement Learning

TensorFlow implementation of Deep Reinforcement Learning papers

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

A high-performance Atari A3C agent in 180 lines of PyTorch

Repository for codes of 'Deep Reinforcement Learning'

PyTorch implementation of Soft Actor-Critic (SAC)

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

playing idealized trading games with deep reinforcement learning

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

use AI to play some games.

PyTorch implementation of Trust Region Policy Optimization

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

Reinforcement learning with tensorflow 2 keras

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

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

[파이썬과 케라스로 배우는 강화학습] 예제

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

JAX implementations of core Deep RL algorithms

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Learning Continuous Control in Deep Reinforcement Learning

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

A Universal Deep Reinforcement Learning Framework

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

RAD: Reinforcement Learning with Augmented Data

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

Pytorch Implementation of RL algorithms

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

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

DrQ: Data regularized Q

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

TD-Regularized Actor-Critic Methods

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Artificial intelligence for the Snake game.

With underflow, create trafic light clusters that interact together to regulate circulation

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Autonomous Drifting using Reinforcement Learning

[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.

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