Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios

no code implementations • 22 Mar 2023 • Yi Tian Xu, Jimmy Li, Di wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

When deploying to an unknown traffic scenario, we select a policy from the policy bank based on the similarity between the previous-day traffic of the current scenario and the traffic observed during training.

Reinforcement Learning (RL)

Communication Load Balancing via Efficient Inverse Reinforcement Learning

no code implementations • 22 Mar 2023 • Abhisek Konar, Di wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek

Engineering this reward function is challenging, because it involves the need for expert knowledge and there lacks a general consensus on the form of an optimal reward function.

reinforcement-learning Reinforcement Learning (RL)

Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs

no code implementations • 17 Aug 2020 • Seowoo Jang, Soyoung Yoo, Namwoo Kang

To reduce the heavy computational burden of the wheel topology optimization process required by our RL formulation, we approximate the optimization process with neural networks.

reinforcement-learning Reinforcement Learning (RL)