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Search results for pytorch deep reinforcement learning
deep-reinforcement-learning
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pytorch
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201 search results found
Practical_rl
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5,572
A course in reinforcement learning in the wild
Deep Reinforcement Learning
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4,635
Repo for the Deep Reinforcement Learning Nanodegree program
Cleanrl
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3,947
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Deep_reinforcement_learning_course
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3,581
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Pytorch A2c Ppo Acktr Gail
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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).
Deeprl
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2,834
Modularized Implementation of Deep RL Algorithms in PyTorch
Deep Reinforcement Learning With Pytorch
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2,741
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimalrl
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2,417
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Muzero General
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2,203
MuZero
Rl Baselines3 Zoo
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1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Ppo Pytorch
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1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
D3rlpy
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1,149
An offline deep reinforcement learning library
Slm Lab
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1,052
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Omnisafe
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831
OmniSafe is an infrastructural framework for accelerating SafeRL research.
Rl Book
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794
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Pytorch A3c
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768
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Mushroom Rl
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765
Python library for Reinforcement Learning.
Deeprl Tutorials
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726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Pytorch Rl
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703
Deep Reinforcement Learning with pytorch & visdom
Pytorch Rl
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638
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Autonomous Learning Library
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616
A PyTorch library for building deep reinforcement learning agents.
Marllib
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611
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Neural Slam
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592
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Rl_a3c_pytorch
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535
A3C LSTM Atari with Pytorch plus A3G design
Deep Reinforcement Learning Algorithms With Pytorch
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484
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, PPO, DDPG, TD3, SAC, ASL)
Awesome Deep Rl
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477
A curated list of awesome Deep Reinforcement Learning resources.
Agilerl
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457
Streamlining reinforcement learning with RLOps
Trending Deep Learning
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449
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Gdrl
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422
Grokking Deep Reinforcement Learning
Pytorch Soft Actor Critic
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414
PyTorch implementation of soft actor critic
Reinforcement Learning Algorithms
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407
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Pytorch Drl
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387
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Pytorch Dqn
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378
Deep Q-Learning Network in pytorch (not actively maintained)
Deep_rl
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372
PyTorch implementations of deep reinforcement learning algorithms
Drq
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369
DrQ: Data regularized Q
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Pytorch Rl
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356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Machine Learning Is All You Need
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337
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Rls
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330
Reinforcement Learning Algorithms Based on PyTorch
Finrl_podracer
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306
Cloud-native Financial Reinforcement Learning
Muzero Pytorch
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302
Pytorch Implementation of MuZero
Hands On Intelligent Agents With Openai Gym
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280
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Gam
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257
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Pytorch Trpo
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252
PyTorch implementation of Trust Region Policy Optimization
Rlgraph
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241
RLgraph: Modular computation graphs for deep reinforcement learning
Pytorch_sac
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232
PyTorch implementation of Soft Actor-Critic (SAC)
Pomdp Baselines
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224
Simple (but often Strong) Baselines for POMDPs in PyTorch (ICML 2022)
Pytorch Ddpg
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207
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Trixi
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206
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Mini Alphastar
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206
A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.
Deep_rl_with_pytorch
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174
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Offlinerl Kit
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165
An elegant PyTorch offline reinforcement learning library for researchers.
Spinning Up Basic
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164
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
Hierarchical Actor Critic Hac Pytorch
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154
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Baby A3c
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153
A high-performance Atari A3C agent in 180 lines of PyTorch
Torch Ac
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134
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Deeprl_algorithms
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112
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Torchrl
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107
Highly Modular and Scalable Reinforcement Learning
Deepcubea
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106
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
Samsung Drl Code
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105
A repository for implementations of deep reinforcement learning lectured at Samsung
A3c Pytorch
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105
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Visualize_atari
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99
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Adnet
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99
Attention-guided CNN for image denoising(Neural Networks,2020)
Episodic Transformer Memory Ppo
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99
Clean baseline implementation of PPO using an episodic TransformerXL memory
Reinforcementlearning Atarigame
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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
Robust Multitask Rl
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84
Machine Learning Course Project Skoltech 2018
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Pytorch Distributed
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74
Ape-X DQN & DDPG with pytorch & tensorboard
Alpha_sigma
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72
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Treeqn
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69
Explorer
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68
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
Deepaco
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68
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Spatial Intention Maps
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65
Learning multi-agent robotic mobile manipulation with deep reinforcement learning
Autonomous Driving In Carla Using Deep Reinforcement Learning
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61
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Code_summarization_public
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61
source code for 'Improving automatic source code summarization via deep reinforcement learning'
Pytorch Hdqn
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60
Hierarchical-DQN in pytorch (not actively maintained)
Super Mario Bros Rl
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57
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Deep Reinforcement Learning Applied To Doom
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57
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Imitation_learning
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56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Rl Plotter
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53
✨ A plotter for reinforcement learning (RL)
Catalyst Examples
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53
Examples
Pytorch Pcgrad
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53
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Ares
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52
Black-box tool that uses Deep Reinforcement Learning to test and explore Android applications
Mary
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51
environment decision making in autonomous driving
Trials
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49
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Force
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47
A library for reinforcement learning research
Min Decision Transformer
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47
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
Td3 Pytorch Bipedalwalker V2
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47
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Policy Adaptation During Deployment
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46
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Icq
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41
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)
Rl_bootcamp
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41
Repository for slides & codes of RL Korea Bootcamp
Mmn
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40
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Dist A3c
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38
Distributed A3C
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Reinforcement Learning Pytorch Cartpole
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36
Simple Cartpole example writed with pytorch.
Pytorchrl
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36
Deep Reinforcement Learning algorithms implemented in PyTorch
Minerva
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36
An out-of-the-box GUI tool for offline deep reinforcement learning
Abcdrl
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35
Modular Single-file Reinfocement Learning Algorithms Library
Wolpertinger_ddpg
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34
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
Rl Gallery
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34
A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.
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