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73 search results found

Reinforcement Learning With Tensorflow ⭐ 8,174

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Cleanrl ⭐ 3,947

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Pytorch A2c Ppo Acktr Gail ⭐ 3,450

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 ⭐ 3,119

Minimal and Clean Reinforcement Learning Examples

Chainerrl ⭐ 1,155

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Pytorch A3c ⭐ 768

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

Deeprl Tutorials ⭐ 726

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

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Rlseq2seq ⭐ 610

Deep Reinforcement Learning For Sequence to Sequence Models

Dissecting Reinforcement Learning ⭐ 585

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

Rl_a3c_pytorch ⭐ 535

A3C LSTM Atari with Pytorch plus A3G design

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

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Pytorch Soft Actor Critic ⭐ 414

PyTorch implementation of soft actor critic

Pytorch Drl ⭐ 387

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

DrQ: Data regularized Q

Reinforcement_learning_tutorial_with_demo ⭐ 357

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..

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Pytorch Cpp Rl ⭐ 308

PyTorch C++ Reinforcement Learning

Pytorch_sac ⭐ 232

PyTorch implementation of Soft Actor-Critic (SAC)

Adeptrl ⭐ 178

Reinforcement learning framework to accelerate research

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Hierarchical Actor Critic Hac Pytorch ⭐ 154

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

Torch Ac ⭐ 134

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Overcoming Exploration From Demos ⭐ 117

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Paddle Rlbooks ⭐ 108

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

Mlds2018spring ⭐ 106

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Deep Reinforcement Learning With Python ⭐ 94

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

Reinforcementlearning Atarigame ⭐ 87

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

Soft Actor Critic And Extensions ⭐ 87

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Run Skeleton Run ⭐ 81

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Explorer ⭐ 68

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

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

Cs294 112_hws ⭐ 62

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

Reinforcement_learning ⭐ 62

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Super Mario Bros Rl ⭐ 57

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

Mario_rl ⭐ 57

Off Policy Continuous Control ⭐ 53

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL WS, NeurIPS 21)

JAX implementations of core Deep RL algorithms

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Java Reinforcement Learning ⭐ 50

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

Reinforcement Learning ⭐ 39

Personal experiments on Reinforcement Learning

Pytorch_sac_ae ⭐ 38

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

Marlclassification ⭐ 27

Image classification using reinforcement learning and multi-agent system

Master Thesis ⭐ 25

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

Reinforcement_learning_with_tensorflow ⭐ 25

Minimal implementations of reinforcement learning algorithms by Tensorflow

Applied Deep Learning (2019 Spring) @ NTU

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Actor Critic using Kronecker-Factored Trust Region

Rl_algos ⭐ 14

Reinforcement Learning Algorithms

Underflow ⭐ 14

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

Deep Rl Torcs ⭐ 12

Autonomous Navigation using Deep Reinforcement Learning

Cat_mouse_continuous_rl ⭐ 10

Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle

Pytorch A2c ⭐ 10

A well-documented A2C written in PyTorch

Pacman Rl ⭐ 9

Implement some reinforcement learning algorithms, test and visualize on Pacman.

Distributed Drl Coordination ⭐ 9

Distributed Online Service Coordination Using Deep Reinforcement Learning

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Deeprl P2 Continuous Control ⭐ 9

Project 2 of Udacity's Deep Reinforcement Learning nanodegree program

Actor Critic Algs On Tensorflow ⭐ 8

Distributed RL implementations

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Deep reinforcement learning framework for fast prototyping based on PyTorch

Reinforcement Learning ⭐ 7

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Energyboost ⭐ 7

Code release of EnergyBoost: Learning-based Control of Home Batteries

Reinforcement Learning Experiments ⭐ 7

Reinforcement learning experiments with Tic Tac Toe, especially with "logical representations"

Implementation of Soft Actor-Critic (SAC) algorithm using TensorFlow 2.1.0

Introduction to Reinforcement Learning in Python

Aocnr2023 A2cbf ⭐ 5

Using step-by-step tutorial in implementing the technique discussed in the paper titled "Actor-Critic Bilateral Filter for High-Stability Edge-Preserving T2-FLAIR MRI Image Denoising" was presented at the 14th Asian-Oceanian Congress of Neuroradiology held in Singapore in conjunction with SGCR-WIRES.

Sim To Real Transfer Of Reinforcement Learning Policies In Robotics ⭐ 5

The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest you to avoid using this repo for purposes other than educational.

Reinforcement Learning On Frozenlake ⭐ 5

Reinforcement Learning Algorithms in a simple Gridworld

High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Actor Critic ⭐ 5

Implementation of A2C and ACKTR in TensorFlow.

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