Finite Sample Analysis of LSTD with Random Projections ... - IJCAI

TD, a layer decomposition ap- proach, experiences a rapid loss of performance beyond a 50% compression ratio, suggesting potential information ...







Improving Global Generalization and Local Personalization for ...
These value-function-based methods,. e.g., TD-learning or Q-learning [15] are always applied to solve the optimization problems defined in a discrete space ...
1 Curriculum vitae
Abstract?Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-level control in many sequential decision-making problems, ...
Self-Organizing Neural Networks Integrating Domain Knowledge ...
TD denotes a recursive procedure for approximating the value function associated with a specific policy. The tra- ditional TD approach ...



Autres Cours:

Stable and Efficient Policy Evaluation - Bo Liu