Niufuxi's repositories
reinforcement_learning_and_game_theory
Collection of materials and code samples on reinforcement learning / optimal control and game theory
Multi_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
-_1
论文出处:https://arxiv.org/abs/2402.03741
HighwayEnv
A minimalist environment for decision-making in autonomous driving
Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
TGRF
Public sourcecode for Transformable Gaussian Reward Function for Robot Navigation with Deep Reinforcement Learning
CrowdNav_Prediction_AttnGraph
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
marl-aquarium
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
HiMAP
[AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
sdmgrad
Official implementation of "Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms" [NeurIPS 2023]
hmp2g
Multiagent Reinforcement Learning Research Project
awesome-rl-for-cybersecurity
A curated list of resources dedicated to reinforcement learning applied to cyber security.
HAIM-DRL
The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving"
AMS-DRL-for-Pursuit-Evasion
This is the official repository for the paper "Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones".
hybrid-vehicle-platoon
Simulations of vehicle platooning using hybrid model predictive control strategies.
dmpcrl-concept
Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforcement learning.
drl_vo_nav
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
decentralized-byzantine-RL
Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"