hj5717

CIA

[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

CommSurvey

This is the repository for the collection of surveys and reviews in communication and networking domains.

facmac

Game-Theoretic-Deep-Reinforcement-Learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

MASA-QMIX

Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'

off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

pymarl3

We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

pymarl_transformers

Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)

shapley-q-learning

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

hj5717/CIA

[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

hj5717/CommSurvey

This is the repository for the collection of surveys and reviews in communication and networking domains.

hj5717/facmac

hj5717/Game-Theoretic-Deep-Reinforcement-Learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

hj5717/maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

hj5717/MASA-QMIX

Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'

hj5717/off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

hj5717/pymarl3

We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

hj5717/pymarl_transformers

Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)

hj5717/shapley-q-learning

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.