Vanh41/Car-Racing

Implementations of CarRacing Gymnasium

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vwxyzjn/cleanrl

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

Language: Python - Size: 134 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 7,032 - Forks: 751

qfettes/DeepRL-Tutorials

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

Language: Jupyter Notebook - Size: 152 MB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 1,072 - Forks: 329

ikostrikov/pytorch-a2c-ppo-acktr-gail

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).

Language: Python - Size: 5.91 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 3,753 - Forks: 834

ChenglongChen/pytorch-DRL

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

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WilliamZhang20/AI-Moonlander

Using reinforcement learning to land on the moon!

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Omegastick/pytorch-cpp-rl 📦

PyTorch C++ Reinforcement Learning

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cpnota/autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

Language: Python - Size: 6.24 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 652 - Forks: 72

bentrevett/pytorch-rl 📦

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

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sohailsmi/2d-drone-rl-navigation

A reinforcement learning-based 2D drone gate navigation system built from scratch using PyTorch.

Language: Python - Size: 459 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Oneiben/2d-drone-rl-navigation

A reinforcement learning-based 2D drone gate navigation system built from scratch using PyTorch.

Language: Python - Size: 457 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

inoryy/tensorflow2-deep-reinforcement-learning

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

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Urinx/ReinforcementLearning

Reinforcing Your Learning of Reinforcement Learning

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Po-Hsun-Su/dprl

Deep reinforcement learning package for torch7

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Kismuz/btgym

Scalable, event-driven, deep-learning-friendly backtesting library

Language: Python - Size: 124 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 990 - Forks: 260

deepbiolab/drl

Implementation of deep reinforcement learning

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dionhaefner/yahtzotron

The friendly robot that beats you in Yahtzee 🤖 🎲

Language: Python - Size: 2.04 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 21 - Forks: 3

lcswillems/torch-ac

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

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eliashornberg/CartPole-A2C-reinforcement-learning

This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

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PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Language: Python - Size: 49.7 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 363 - Forks: 146

AliBakly/CartPole-A2C-reinforcement-learning

This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

nslyubaykin/relax_a2c_example

Example A2C implementation with ReLAx

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lorenzomancini1/FederatedDRL

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jcwleo/curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

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sunoh-kim/deep-learning

This repository contains my assignment solutions for the Deep Learning course (M2177.003100_002) offered by Seoul National University (Fall 2019).

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dksifoua/Reinforcement-Learning

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CherryPieSexy/imitation_learning

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

Language: Python - Size: 34.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 118 - Forks: 14

nitish-kalan/CartPole-v1-Advantage-Actor-Critic-A2C-Keras

Solving CartPole-v1 environment in Keras with Advantage Actor Critic (A2C) algorithm an Deep Reinforcement Learning algorithm

Language: Python - Size: 471 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 4

KevinMathewT/RL-RoboSoccer-FirstPlace

First Place Reinforcement Learning solution code and a writeup for the AI RoboSoccer Competition.

Language: Python - Size: 287 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

praveen-palanisamy/Hands-On-Intelligent-Agents-with-OpenAI-Gym Fork of PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Language: Python - Size: 38.1 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

Akella17/Deep-Bayesian-Quadrature-Policy-Optimization

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

Language: Python - Size: 3.44 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 7

chagmgang/pysc2_rl

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med-air/DEX

[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Language: Python - Size: 805 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 2

ayush5harma/Espeon 📦

It's a Raspberry Pi Pokémon that gamifies WiFi Hacking by learning from its surrounding WiFi environment utilising deep Reinforcement Learning.

Language: Python - Size: 81.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

rpatrik96/pytorch-a2c

A well-documented A2C written in PyTorch

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LukasDrews97/flappy-bird-reinforcement-learning Fork of doravalerie/flappy-bird-gym

Training a Reinforcement Learning Agent to Play Flappy Bird

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rystrauss/interact

Implementations of deep reinforcement learning algorithms.

Language: Python - Size: 262 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

dodoseung/a2c-advantage-actor-critic-pytorch

The pytorch implemetation of a2c

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mingxuanM/Puck_Catching_Agent

RL agent that is trained to catch moving pucks in a complex environment, with DQN, AC, A2C and more.

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TTitcombe/A3C

PyTorch implementation of Asynchronous (and Synchronous) Advantage Actor Critic

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tailongnguyen/current-project

Multi-task learning with Advantage Actor Critic and sharing experience

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