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 vitaeAbstract?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 ... Enhanced network compression through tensor decompositions and ...This evaluation takes into account both the temporal difference (TD) error and the sum of absolute values of the neuron's forward or subsequent connections.
Autres Cours:
