2 papers
cs.LG2026
Factorized Spectral Representations for Reinforcement Learning
Junyi Wu, Dan Li
Learning a compact model of the world from interaction data is central to sample-efficient deep reinforcement learning. Spectral representation methods have become the leading para…
cs.LG2025
Tensor-Efficient High-Dimensional Q-learning
Junyi Wu, Dan Li
High-dimensional reinforcement learning(RL) faces challenges with complex calculations and low sample efficiency in large state-action spaces. Q-learning algorithms struggle partic…