Tianhao Cai

Predictive Local Planning with Multi-Step Reward and Q-Value Forecasting

Planning in dynamic environments often relies on explicit future observation prediction or value-based estimation, both of which can be brittle or hard to generalize in uncertain settings. We propose a novel model-based reinforcement learning framework that performs trajectory rollout and optimizati…