10 citations · 14 across the 12 of their papers we have counts for
3 papers · 1 filter
Time-Aware World Model for Adaptive Prediction and Control
Anh N. Nhu, Sanghyun Son, Ming Lin
In this work, we introduce the Time-Aware World Model (TAWM), a model-based approach that explicitly incorporates temporal dynamics. By conditioning on the time-step size, Δt, and…
Gradient Informed Proximal Policy Optimization
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan +2
We introduce a novel policy learning method that integrates analytical gradients from differentiable environments with the Proximal Policy Optimization (PPO) algorithm. To incorpor…
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning
J. K. Terry, Nathaniel Grammel, Sanghyun Son +2
Parameter sharing, where each agent independently learns a policy with fully shared parameters between all policies, is a popular baseline method for multi-agent deep reinforcement…