Trending repositories for topic deep-reinforcement-learning
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...
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.
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)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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 curated list of reinforcement learning with human feedback resources (continually updated)
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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 without experience replay, target networks, or batch updates.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
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 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 ...
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Deep reinforcement learning without experience replay, target networks, or batch updates.
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
A curated list of awesome Deep Reinforcement Learning resources.
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 effi...
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)
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
🏛️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.
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Deep Reinforcement Learning for Robotic Grasping from Octrees
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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...
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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.
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
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A curated list of reinforcement learning with human feedback resources (continually updated)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A curated list of Diffusion Model in RL resources (continually updated)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Deep reinforcement learning without experience replay, target networks, or batch updates.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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 without experience replay, target networks, or batch updates.
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
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 curated list of Diffusion Model in RL resources (continually updated)
Research project: create a chess engine using Deep Reinforcement Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
A curated list of awesome Deep Reinforcement Learning resources.
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
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...
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.
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
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...
A curated list of reinforcement learning with human feedback resources (continually updated)
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
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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)
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
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 deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
A V2G Simulation Environment for large scale EV charging optimization
Deep reinforcement learning without experience replay, target networks, or batch updates.
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
A deep reinforcement learning (DRL) based approach for slum upgrading. (KDD' 23)
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Research project: create a chess engine using Deep Reinforcement Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
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)
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
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...
Solving the 3D bin packing problem with reinforcement learning
🏛️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 deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
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...
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 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!!
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
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.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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
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).
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
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 proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
[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 (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
A Survey Analyzing Generalization in Deep Reinforcement Learning
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
[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
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...