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cs.LG2025
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez, Tao Li, Yingdong Lu +1
Deep Q-learning jointly learns representations and values within monolithic networks, promising beneficial co-adaptation between features and value estimates. Although this archite…
cs.LG2025
In-Context Reinforcement Learning via Communicative World Models
Fernando Martinez-Lopez, Tao Li, Yingdong Lu +1
Reinforcement learning (RL) agents often struggle to generalize to new tasks and contexts without updating their parameters, mainly because their learned representations and polici…
cs.AI2025
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
Fernando Martinez-Lopez, Juntao Chen, Yingdong Lu
Deep reinforcement learning agents often face challenges to effectively coordinate perception and decision-making components, particularly in environments with high-dimensional sen…