Trending repositories for topic deep-reinforcement-learning
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)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
A curated list of reinforcement learning with human feedback resources (continually updated)
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...
A curated list of Diffusion Model in RL resources (continually updated)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
Research project: create a chess engine using Deep Reinforcement Learning
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
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...
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
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
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
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...
A curated list of Diffusion Model in RL resources (continually updated)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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 ...
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
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)
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.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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...
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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...
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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 curated list of Diffusion Model in RL resources (continually updated)
A curated list of reinforcement learning with human feedback resources (continually updated)
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
A benchmarking repo with various solution methods to various machine scheduling problems
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
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...
This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.
Research project: create a chess engine using Deep Reinforcement Learning
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
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)
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
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
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
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
A curated list of Diffusion Model in RL resources (continually updated)
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/
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...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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...
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A curated list of reinforcement learning with human feedback resources (continually updated)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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...
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.
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 curated list of Diffusion Model in RL resources (continually updated)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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 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...
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
A V2G Simulation Environment for large scale EV charging optimization
Research project: create a chess engine using Deep Reinforcement Learning
[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
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 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-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
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
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 based autonomous navigation in realistic simulation environments.
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.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
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)
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...
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)
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 curated list of reinforcement learning with human feedback resources (continually updated)
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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!!
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
This repo contains the Hugging Face Deep Reinforcement Learning Course.
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
A V2G Simulation Environment for large scale EV charging optimization
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 ...
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
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)
Implementation of deep reinforcement learning algorithms for training an agent to play the game lunar lander
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...
A benchmarking repo with various solution methods to various machine scheduling problems
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.
QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management