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 without experience replay, target networks, or batch updates.
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...
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
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
A curated list of reinforcement learning with human feedback resources (continually updated)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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 ....
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Deep reinforcement learning without experience replay, target networks, or batch updates.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
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)
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
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...
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
A curated list of reinforcement learning with human feedback resources (continually updated)
Deep reinforcement learning without experience replay, target networks, or batch updates.
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)
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...
(⌐■_■) - 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...
A curated list of reinforcement learning with human feedback resources (continually updated)
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A curated list of Diffusion Model in RL resources (continually updated)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Deep reinforcement learning without experience replay, target networks, or batch updates.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
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
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
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...
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
Research project: create a chess engine using Deep Reinforcement Learning
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
A Deep Reinforcement Learning Framework for Stock Market Trading
Combines JSBSim and Airsim with a python module to simulate a fixedwing
TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Deep reinforcement learning without experience replay, target networks, or batch updates.
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 without experience replay, target networks, or batch updates.
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...
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)
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...
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.
A curated list of Diffusion Model in RL resources (continually updated)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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 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)
A benchmarking repo with various solution methods to various machine scheduling problems
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
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...
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Implementation of deep reinforcement learning algorithms for training an agent to play the game lunar lander
Research project: create a chess engine using Deep Reinforcement Learning
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
[T-ITS'23] 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
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Deep reinforcement learning without experience replay, target networks, or batch updates.
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
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...
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...
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)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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
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 ....
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
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.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A curated list of Diffusion Model in RL resources (continually updated)
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Implementation of deep reinforcement learning algorithms for training an agent to play the game lunar lander
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)
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
A benchmarking repo with various solution methods to various machine scheduling problems
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces