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...
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)
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)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
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.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
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)
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Deep Reinforcement Learning for Robotic Grasping from Octrees
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
FinRL-Meta: Dynamic datasets and market environments for FinRL.
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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
A curated list of Diffusion Model in RL resources (continually updated)
List of awesome resources for machine learning-based algorithmic trading
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
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)
A curated list of reinforcement learning with human feedback resources (continually updated)
(⌐■_■) - 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...
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
FinRL-Meta: Dynamic datasets and market environments for FinRL.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)
Reading list for adversarial perspective and robustness in deep reinforcement learning.
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
Deep Reinforcement Learning for Robotic Grasping from Octrees
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
An elegant PyTorch offline reinforcement learning library for researchers.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"
FinRL-Meta: Dynamic datasets and market environments for FinRL.
🏛️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)
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
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)
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)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A curated list of Diffusion Model in RL resources (continually updated)
FinRL-Meta: Dynamic datasets and market environments for FinRL.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A V2G Simulation Environment for large scale EV charging optimization
A benchmarking repo with various solution methods to various machine scheduling problems
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX 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)
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
A curated list of Diffusion Model in RL resources (continually updated)
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model
A Survey Analyzing Generalization in Deep Reinforcement Learning
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)
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.
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)
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!!
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.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Reading list for adversarial perspective and robustness in deep reinforcement learning.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
[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
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and 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)
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.
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
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...
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles