Awesome Open Source

Programming Languages

Search results for python reinforcement learning algorithms

reinforcement-learning-algorithms x

117 search results found

Stable Baselines3 ⭐ 7,292

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Stable Baselines ⭐ 3,064

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Di Engine ⭐ 2,681

OpenDILab Decision AI Engine

Ppo Pytorch ⭐ 1,270

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

Rex Gym ⭐ 759

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

Pomdps.jl ⭐ 616

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Awesome Monte Carlo Tree Search Papers ⭐ 537

A curated list of Monte Carlo tree search papers with implementations.

Purejaxrl ⭐ 460

Really Fast End-to-End Jax RL Implementations

Ppo For Beginners ⭐ 427

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w

Stable Baselines3 Contrib ⭐ 384

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Reinforcement Learning Algorithms Based on PyTorch

Uav Ddpg ⭐ 297

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

Xingtian ⭐ 282

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Reinforcement Learning An Introduction Chinese ⭐ 260

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Uav_obstacle_avoiding_drl ⭐ 242

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

Machine Learning Goodness ⭐ 235

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

Di Engine Docs ⭐ 234

DI-engine docs (Chinese and English)

Simple_rl ⭐ 224

A simple framework for experimenting with Reinforcement Learning in Python.

Hierarchical Actor Critic Hac Pytorch ⭐ 154

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

Rlberry ⭐ 147

An easy-to-use reinforcement learning library for research and education.

Modular framework for Reinforcement Learning in python

Tradzqai ⭐ 136

Trading environnement for RL agents, backtesting and training.

Reinforcement_learning_in_python ⭐ 115

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Deep Cfr ⭐ 109

Scalable Implementation of Deep CFR and Single Deep CFR

Torchrl ⭐ 107

Highly Modular and Scalable Reinforcement Learning

Mabalgs ⭐ 100

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Reinforcement Learning ⭐ 95

🤖 Implements of Reinforcement Learning algorithms.

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

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.

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

Combining deep learning and reinforcement learning.

Multiagent Reinforcement Learning Research Project

Rl_tutorial ⭐ 78

Tutorial for Reinforcement Learning

Kgpolicy ⭐ 75

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

L2rpn Baselines ⭐ 71

L2RPN Baselines a repository to host baselines for l2rpn competitions.

Tensorswarm ⭐ 69

TensorSwarm: A framework for reinforcement learning of robot swarms.

Baconian Project ⭐ 68

Model-based Reinforcement Learning Framework

Neural Fictitous Self Play ⭐ 67

Scalable Implementation of Neural Fictitous Self-Play

Td3 Bipedalwalkerhardcore V2 ⭐ 62

Solve BipedalWalkerHardcore-v2 with TD3

Reinforcement Learning ⭐ 53

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Self Imitation Learning Pytorch ⭐ 52

This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

Avalanche Rl ⭐ 51

Avalanche fork adding RL support

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Upside Down Reinforcement Learning ⭐ 44

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Pytorch Learn Reinforcement Learning ⭐ 42

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Python implementation of POMDP framework and PBVI & POMCP algorithms.

Vsrl Framework ⭐ 37

The Verifiably Safe Reinforcement Learning Framework

Reinforcement Learning ⭐ 33

Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Connect4 ⭐ 29

Solving board games like Connect4 using Deep Reinforcement Learning

Rl Implementation Impala ⭐ 28

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

Reinforcement Learning ⭐ 27

Implementation of various Reinforcement Learning Algorithms

Pokerrl Omaha ⭐ 26

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Rl Algorithms ⭐ 25

Reinforcement learning algorithms

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

King Pong ⭐ 24

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

Distributed Ppo ⭐ 23

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

Reinforcement Learning On Google Colab ⭐ 21

Reinforcement Learning algorithm's using google-colab

Deepgame ⭐ 20

Multi-agent reinforcement learning programs based on Game theory

Rl Pytorch ⭐ 20

A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.

Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

Gym Adserver ⭐ 19

An OpenAI gym environment for ad serving algorithms

Optim4rl ⭐ 17

Optim4RL is a framework of learning to optimize for reinforcement learning.

Deep Rl Mxnet ⭐ 16

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

The Core Reinforcement Learning library is intended to enable scalable deep reinforcement learning experimentation in a manner extensible to new simulations and new ways for the learning agents to interact with them. The hope is that this makes RL research easier by removing lock-in to particular simulations.The work is released under the follow APRS approval. Initial release of CoRL - Part #1 -Approved on 2022-05-2024 12:08:51 - PA Approval # [AFRL-2022-2455]" Documentation https://act3-ace.g

Rl_algos ⭐ 14

Reinforcement Learning Algorithms

Pytorch Rl ⭐ 14

Pytorch Implementation of RL algorithms

Qlearningmouse ⭐ 14

Cat-and-Mouse game with Reinforcement Learning (Q-Learning).

Comparison of bandit algorithms from the Reinforcement Learning bible.

Experimentation with Regularized Nash Dynamics on a GPU accelerated game

Text summarization with PyTorch

MATE: the Multi-Agent Tracking Environment.

Maddpg Keras ⭐ 12

Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras

Actor Critic Pytorch ⭐ 12

Policy Gradient Actor-Critic PyTorch | Lunar Lander v2

Marltoolbox ⭐ 12

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Self Guided Alps Discounted Cost ⭐ 11

A simple and neat implementation of reinforcement learning algorithms.

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

Pytorch A2c ⭐ 10

A well-documented A2C written in PyTorch

A Reinforcement Learning framework for the NAO robot

Deeprl Pytorch ⭐ 9

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

Interoperating between (Deep) Reiforcement Learning libraries

Ddpg_numpy_only ⭐ 9

Implemenation of DDPG with numpy only (without Tensorflow)

Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"

Deep Successor Features For Transfer ⭐ 8

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

Racetrack ⭐ 8

An environment for tabular Reinforcement Learning agents.

Unstable_baselines ⭐ 8

A TF2.0 implementation of RL baselines.

DRL algorithms for Starcraft II

Deeppathwithtensorforce ⭐ 8

DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce

Ppo Tensorflow 2.0 ⭐ 8

Proximal Policy Optimization with Tensorflow 2.0

Related Searches

Python Django (28,897)

Python Machine Learning (20,195)

Python Flask (17,643)

Python Pytorch (16,791)

Python Dataset (14,793)

Python Docker (14,113)

Python Tensorflow (13,739)

Python Command Line (13,351)

Python Deep Learning (13,092)

Python Jupyter Notebook (12,977)

1-100 of 117 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.