Trending repositories for topic deep-reinforcement-learning
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
A curated list of Diffusion Model in RL resources (continually updated)
Open source neural network chess engine with GPU acceleration and broad hardware support.
A V2G Simulation Environment for large scale EV charging optimization
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
A V2G Simulation Environment for large scale EV charging optimization
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A curated list of Diffusion Model in RL resources (continually updated)
Deep Reinforcement Learning for Robotic Grasping from Octrees
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A curated list of reinforcement learning with human feedback resources (continually updated)
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This...
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A V2G Simulation Environment for large scale EV charging optimization
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 based)的代码，代码都经过调试并可以运行
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment whi...
Deep reinforcement learning without experience replay, target networks, or batch updates.
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
An elegant PyTorch offline reinforcement learning library for researchers.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving
Deep Reinforcement Learning for Robotic Grasping from Octrees
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
A curated list of Diffusion Model in RL resources (continually updated)
A curated list of reinforcement learning with human feedback resources (continually updated)
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This...
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment whi...
A V2G Simulation Environment for large scale EV charging optimization
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goa...
A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
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 based)的代码，代码都经过调试并可以运行
[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
Simulation based Soft Continuum Robot Control via Reinforcement Learning
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Deep reinforcement learning without experience replay, target networks, or batch updates.
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Deep reinforcement learning without experience replay, target networks, or batch updates.
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning.
This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This...
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A curated list of reinforcement learning with human feedback resources (continually updated)
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
This repo contains the Hugging Face Deep Reinforcement Learning Course.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A curated list of Diffusion Model in RL resources (continually updated)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
A V2G Simulation Environment for large scale EV charging optimization
Implementing obstacle avoidance and path planning for the Pioneer 3-DX robot using Python, PyTorch, and the deep reinforcement learning algorithm REINFORCE in the Webots Simulator.
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goa...
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, trackin...
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation of deep reinforcement learning algorithms for training an agent to play the game lunar lander
A benchmarking repo with various solution methods to various machine scheduling problems
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal...
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces