ZYF165599's Stars
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
facebookresearch/Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
starry-sky6688/MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
sichkar-valentyn/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
ZYunfeii/UAV_Obstacle_Avoiding_DRL
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
facebookresearch/BenchMARL
A collection of MARL benchmarks based on TorchRL
heleidsn/UAV_Navigation_DRL_AirSim
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
vinvino02/GLPDepth
GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
facebookresearch/M3RL
Mind-aware Multi-agent Management Reinforcement Learning
ZiyuanMa/DHC
Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021
dcaffo98/path-planning-cnn
Solving synthetic 2d path-planning problems with a convolutional neural network.
XuJing1022/HiT-MAC
This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.
Rainyforest/DQN-PathPlanning
d1024choi/traj-pred-irl
Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV
Jamesellis51015/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.
DosepackAIR/MARL-DPP
Multi Agent Reinforcement Learning for Dense Path Planning
DamianoBrunori/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).
PathPlanning/GAN-Path-Finder
Generative Adversarial Networks for Path Planning in 2D
acforvs/multi-agent-pathfinding
Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with M*
BIT-MCS/hi-MADRL
[ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning
biplavc/UAV_DQN_AoI_multi_UAV_Age_7
Deep Q Network-based scheduling over two-hop wireless channels.
facebookresearch/chai
CHAI is a library for dynamic pruning of attention heads for efficient LLM inference.
terryyylim/ToM-gameplaying-POMDP
Modeling Multi-Agent cooperation using Theory of Mind
GilesLuo/OpenGL-rendering-for-3D-MAPF
tiny rendering script for RL based 3D-MAPF demonstration.
Precola/ToM
A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents
Shr1ftyy/belief-tom
Implementation of "Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning"
d1024choi/pathgan_pytorch
The official implementation of the paper "PathGAN: Local Path Planning with Attentive Generative Adversarial Networks" accepted to ETRI Journal
namespacebilibili/ToMDT
Implementation of PKU 2023 CoRe Submission *Decision Transformer for Modeling Theory of Mind in Multi-Agent Systems*.
TylerJamesMalloy/RL-Theory-Of-Mind
A Theory of Mind Agent for Multiplayer Cooperative and Competitive Card Games
TylerJamesMalloy/TOM-Planning
Theory of Mind Based Planning for Reinforcement Learning