ZYF165599's starred repositories
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
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
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.
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
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