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Search results for pytorch reinforcement learning

reinforcement-learning x

486 search results found

Rl Code Resources ⭐ 49

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

Min Decision Transformer ⭐ 47

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Offlinerl Lib ⭐ 47

Benchmarked implementations of Offline RL Algorithms.

A library for reinforcement learning research

Td3 Pytorch Bipedalwalker V2 ⭐ 47

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

Super Mario Rl ⭐ 46

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

Policy Adaptation During Deployment ⭐ 46

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Soft Module ⭐ 45

Code for "Multi-task Reinforcement Learning with Soft Modularization"

Dqn Atari ⭐ 44

Deep Q-Learning (DQN) implementation for Atari pong.

Torch Discounted Cumsum ⭐ 44

Fast Discounted Cumulative Sums in PyTorch

Upside Down Reinforcement Learning ⭐ 44

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

Visual Graph Memory ⭐ 44

Official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", ICCV 2021

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

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.

Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks

[TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".

Rl_bootcamp ⭐ 41

Repository for slides & codes of RL Korea Bootcamp

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

PyTorch implementation of Proximal Policy Optimization

Slttrack ⭐ 40

Official Implementation of Towards Sequence-Level Training for Visual Tracking (ECCV 2022)

Strokenet ⭐ 40

a neural network that draws digits using strokes

Moldqn Pytorch ⭐ 40

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Ml Bots Surviv.io ⭐ 40

Open_stt_e2e ⭐ 39

PyTorch end-to-end speech recognition

The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

Recurrent Fwp ⭐ 39

Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)

Pytorch_sac_ae ⭐ 38

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

Minimal Nas ⭐ 36

Minimal implementation of a Neural Architecture Search system.

Code for ACL 2022 paper on the topic of long document summarization: MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes

Reinforcement Learning Pytorch Cartpole ⭐ 36

Simple Cartpole example writed with pytorch.

Pytorchrl ⭐ 36

Deep Reinforcement Learning algorithms implemented in PyTorch

An out-of-the-box GUI tool for offline deep reinforcement learning

Ppo Pytorch ⭐ 35

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Pytorch Gym ⭐ 35

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

Policy Gradient Methods ⭐ 35

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Generative Adversarial User Model For Reinforcement Learning Based Recommendation System Pytorch ⭐ 34

Proto-RL: Reinforcement Learning with Prototypical Representations

Rl Gallery ⭐ 34

A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.

Reinforcementlearning ⭐ 32

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行

Ddqn With Pytorch For Openai Gym ⭐ 32

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.

Pytorch Rl Cpp ⭐ 31

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

Dqn Using Pytorch And Ml Agents ⭐ 31

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

Easily implement parallel training and distributed training. Machine learning library.

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Catalyst Rl Framework ⭐ 29

Catalyst.RL: A Distributed Framework for Reproducible RL Research

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

2048_env ⭐ 29

2048 environment for Reinforcement Learning and DQN algorithm

Deterministic Gail Pytorch ⭐ 29

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

A3c Super Mario Pytorch ⭐ 28

Reinforcement Learning for Super Mario Bros using A3C on GPU

Bindsnet ⭐ 28

Simulation of spiking neural networks (SNNs) using PyTorch.

☔ Deep RL agents with PyTorch☔

World Models Sonic Pytorch ⭐ 28

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Ddpg Pytorch ⭐ 28

PyTorch implementation of DDPG for continuous control tasks.

Alpha Gobang Zero ⭐ 28

A gobang robot based on reinforcement learning.

Reinforcement_learning_with_pytorch ⭐ 27

Implement some algorithms of RL

Marlclassification ⭐ 27

Image classification using reinforcement learning and multi-agent system

Adaptable tools to make reinforcement learning and evolutionary computation algorithms.

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Rl_pytorch ⭐ 27

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Meta Reinforcement Learning ⭐ 26

Code snippets of Meta Reinforcement Learning algorithms

Pokerrl Omaha ⭐ 26

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

Rl Policies Attacks Defenses ⭐ 26

Adversarial attacks on Deep Reinforcement Learning (RL)

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

Fast Reinforcement Learning ⭐ 26

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Gail Pytorch ⭐ 26

A simple implementation of Generative Adversarial Imitation Learning with PyTorch

Rllib Energyplus ⭐ 25

Simple EnergyPlus environments for control optimization using reinforcement learning

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Challenge Aido_rl Il ⭐ 23

Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics

The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

Football Paris ⭐ 23

The exact codes used by the team "liveinparis" at the kaggle football competition ranked 8th/1141

Berkeley Deep Rl Pytorch Starter ⭐ 23

Pytorch starter code for UC Berkeley's cs285 assignments

Obs Causal Q Network ⭐ 23

AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks

Calm Dialogue ⭐ 23

Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"

Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm

Muzero Cpp ⭐ 22

A C++ pytorch implementation of MuZero

Cartpole Rl Remote ⭐ 22

CartPole game by Reinforcement Learning, a journey from training to inference

Reinforcement Learning Replications ⭐ 22

Reinforcement Learning Replications is a set of Pytorch implementations of reinforcement learning algorithms.

Mentalrl ⭐ 22

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Paac.pytorch ⭐ 21

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Rl4net Te ⭐ 21

RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking

Ai Traineree ⭐ 21

PyTorch agents and tools for (Deep) Reinforcement Learning

Hiro_pytorch ⭐ 21

Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)

Upside Down Reinforcement Learning ⭐ 21

Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch

Deeptrain ⭐ 21

🔥 开源深度强化学习训练平台 X 统一账号管理

Pytorch_ppo_rl ⭐ 21

Qrl Dqn Gym ⭐ 21

PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)

Reinforcement Learning Code ⭐ 20

A repository for codes of reinforcement learning algorithms with PyTorch

Reinforcement Learning Experiments using PyBullet

PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)

Dqn Flappybird ⭐ 20

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

Es_pytorch ⭐ 20

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

Projects ⭐ 20

Data Science Portfolio

Applied Deep Learning (2019 Spring) @ NTU

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

In Progress Implementation of GATO style Generalist Multimodal model capable of image, text, RL and Robotics tasks

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

My experimentations with Reinforcement Learning in Pytorch

Rlassistant ⭐ 19

RLA is a tool for managing your RL experiments automatically

Var Quantumcircuits Deeprl ⭐ 19

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

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