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cs.LG2026
ERPPO: Entropy Regularization-based Proximal Policy Optimization
Changha Lee, Gyusang Cho
Multi-Agent Proximal Policy Optimization (MAPPO) is a variant of the Proximal Policy Optimization (PPO) algorithm, specifically tailored for multi-agent reinforcement learning (MAR…
cs.LG2023
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization
Eunju Yang, Gyusang Cho, Chan-Hyun Youn
From a service perspective, Multi-Source Domain Adaptation (MSDA) is a promising scenario to adapt a deployed model to a client's dataset. It can provide adaptation without a targe…