Niufuxi's repositories

reinforcement_learning_and_game_theory

Collection of materials and code samples on reinforcement learning / optimal control and game theory

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Multi_Robot_Distributional_RL_Navigation

[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

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MARLlib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

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-_1

论文出处:https://arxiv.org/abs/2402.03741

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HighwayEnv

A minimalist environment for decision-making in autonomous driving

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Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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TGRF

Public sourcecode for Transformable Gaussian Reward Function for Robot Navigation with Deep Reinforcement Learning

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CrowdNav_Prediction_AttnGraph

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

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marl-aquarium

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms

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InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

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HiMAP

[AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

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sdmgrad

Official implementation of "Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms" [NeurIPS 2023]

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hmp2g

Multiagent Reinforcement Learning Research Project

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awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

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HAIM-DRL

The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving"

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AMS-DRL-for-Pursuit-Evasion

This is the official repository for the paper "Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones".

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hybrid-vehicle-platoon

Simulations of vehicle platooning using hybrid model predictive control strategies.

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dmpcrl-concept

Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforcement learning.

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drl_vo_nav

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

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decentralized-byzantine-RL

Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

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