Why Does Q-learning Work? - Indico

Meyn. Control Techniques for Complex Networks. Cambridge University Press, 2007. See last chapter on simulation and average-cost TD learning.







1 Temporal Difference and Q-Learning
Q-learning is an off-policy learning algorithm. An on-policy learning algorithm learns the value of the policy being carried out by the agent. (ii) Model-based ...
Reinforcement Learning
Temporal Difference (TD) methods are a class of model-free reinforcement learning algorithms. TD methods combine ideas from Monte Carlo methods and Dynamic.
Circular Motion and Gravitation - smarosa
A. 400.0-N force, parallel to the ramp, is needed to slide the crate up the ramp at a constant speed. a. How much work does Maricruz do in sliding the crate up ...



Autres Cours:

Off-Policy Temporal-Difference Learning with Function Approximation