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Search results for pytorch reinforcement learning algorithms

reinforcement-learning-algorithms x

46 search results found

Stable Baselines3 ⭐ 7,292

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

Deep Reinforcement Learning ⭐ 4,635

Repo for the Deep Reinforcement Learning Nanodegree program

Ppo Pytorch ⭐ 1,270

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

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

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

Pytorch Cpp Rl ⭐ 308

PyTorch C++ Reinforcement Learning

Hierarchical Actor Critic Hac Pytorch ⭐ 154

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

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)

Torchrl ⭐ 107

Highly Modular and Scalable Reinforcement Learning

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

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.

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

Pytorch Rl ⭐ 64

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

Pytorch Rl ⭐ 53

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.

Rl Code Resources ⭐ 49

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

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.

Pytorch Rl Cpp ⭐ 31

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

Pokerrl Omaha ⭐ 26

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

Distributed Ppo ⭐ 23

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

Recurrent Deep Q Learning ⭐ 21

Solving POMDP using Recurrent networks

Rl Pytorch ⭐ 20

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

Realtime Trading Project ⭐ 19

💲Crypto Trading Strategies using Reinforcement Learning with Linear-Q Learning, LSTM Q-learning, Kafka, and Apache Spark 📈📉

Pytorch Rl ⭐ 14

Pytorch Implementation of RL algorithms

Deeprl Continuous Control ⭐ 14

Learning Continuous Control in Deep Reinforcement Learning

Experimentation with Regularized Nash Dynamics on a GPU accelerated game

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Actor Critic Pytorch ⭐ 12

Policy Gradient Actor-Critic PyTorch | Lunar Lander v2

Text summarization with PyTorch

Pytorch-based python library for continuous reinforcement learning and imitation learning [superseded by @osudrl/apex]

Pytorch A2c ⭐ 10

A well-documented A2C written in PyTorch

Munchausen Rl ⭐ 9

PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN

DRL algorithms for Starcraft II

Iqn And Extensions ⭐ 7

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

Dqn Pytorch ⭐ 7

A PyTorch Implementation for Deep Q Network

A3C Algorithm for classic Atari games

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Reinforcement Learning ⭐ 5

Implementation and Notes of different Reinforcement Learning Algorithms

Pytorch Cpo ⭐ 5

PyTorch implementation of Constrained Policy Optimization

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