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)
A curated list of reinforcement learning with human feedback resources (continually updated)
Clean, Robust, and Unified PyTorch implementation of popular 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...
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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...
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 ）
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
OmniSafe is an infrastructural framework for accelerating SafeRL research.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation
Challenging Memory-based Deep Reinforcement Learning Agents
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
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...
Clean baseline implementation of PPO using an episodic TransformerXL memory
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A curated list of reinforcement learning with human feedback resources (continually updated)
OmniSafe is an infrastructural framework for accelerating SafeRL research.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A curated list of Diffusion Model in RL resources (continually updated)
Deep Reinforcement Learning for Robotic Grasping from Octrees
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 ）
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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.
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 DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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...
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 ）
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
OpenAI Gym environment solutions using Deep Reinforcement Learning.
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.
Clean baseline implementation of PPO using an episodic TransformerXL memory
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
A benchmarking repo with various solution methods to various machine scheduling problems
This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
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...
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...
A curated list of reinforcement learning with human feedback resources (continually updated)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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.
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A curated list of Diffusion Model in RL 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 ）
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
A V2G Simulation Environment for large scale EV charging optimization
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
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.
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
Clean baseline implementation of PPO using an episodic TransformerXL memory
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be deployed in the emulation. Related repo: https://github.com/jarom...
A curated list of Diffusion Model in RL resources (continually updated)
Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Reading list for adversarial perspective and robustness in deep reinforcement learning.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
A benchmarking repo with various solution methods to various machine scheduling problems
[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
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.
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...
A curated list of reinforcement learning with human feedback resources (continually updated)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning Sy...
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
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.
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 pro...
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
Related papers for reinforcement learning, including classic papers and latest papers in top conferences