Zhiyong Chen

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States

2022 · arXiv (Cornell University)

Actor-critic (AC) algorithms are a class of model-free deep reinforcement learning algorithms, which have proven their efficacy in diverse domains, especially in solving continuous control problems. Improvement of exploration (action entropy) and exploitation (expected return) …

Predictive GAN-Powered Multi-Objective Optimization for Hybrid Federated Split Learning

2023 · IEEE Transactions on Communications

As an edge intelligence algorithm for multi-device collaborative training, federated learning (FL) can protect data privacy but increase the computing load of wireless devices. In contrast, split learning (SL) can reduce the computing load of …