continuous control 1reinforcement learning 1representation learning 1sample efficiency 1spectral methods 1tensor decomposition 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Factorized Spectral Representations for Reinforcement Learning
Junyi Wu, Dan Li
The paper introduces FaStR, a method that factorizes the transition kernel of a reinforcement learning environment as a three-way tensor using CP decomposition, learning separate e…
cs.LG2026
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…