ZYF165599

BenchMARL

A collection of MARL benchmarks based on TorchRL

chai

CHAI is a library for dynamic pruning of attention heads for efficient LLM inference.

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

M3RL

Mind-aware Multi-agent Management Reinforcement Learning

ToMDT

Implementation of PKU 2023 CoRe Submission *Decision Transformer for Modeling Theory of Mind in Multi-Agent Systems*.

ToM

A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents

belief-tom

Implementation of "Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning"

TOM-Planning

Theory of Mind Based Planning for Reinforcement Learning

RL-Theory-Of-Mind

A Theory of Mind Agent for Multiplayer Cooperative and Competitive Card Games

ToM-gameplaying-POMDP

Modeling Multi-Agent cooperation using Theory of Mind

hi-MADRL

[ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning

HiT-MAC

This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-

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, tracking, spotting).

OpenGL-rendering-for-3D-MAPF

tiny rendering script for RL based 3D-MAPF demonstration.

DHC

Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

UAV_DQN_AoI_multi_UAV_Age_7

Deep Q Network-based scheduling over two-hop wireless channels.

Multi-Agent-Path-Finding-with-Reinforcement-Learning

Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.

MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

UAV_Obstacle_Avoiding_DRL

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

traj-pred-irl

Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV

pathgan_pytorch

The official implementation of the paper "PathGAN: Local Path Planning with Attentive Generative Adversarial Networks" accepted to ETRI Journal

GLPDepth

GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

DQN-PathPlanning

path-planning-cnn

Solving synthetic 2d path-planning problems with a convolutional neural network.

UAV_Navigation_DRL_AirSim

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

multi-agent-pathfinding

Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with M*

Reinforcement_Learning_in_Python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

GAN-Path-Finder

Generative Adversarial Networks for Path Planning in 2D

MARL-DPP

Multi Agent Reinforcement Learning for Dense Path Planning