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AAAI
2012
11 years 11 months ago
An Intelligent Battery Controller Using Bias-Corrected Q-learning
The transition to renewables requires storage to help smooth short-term variations in energy from wind and solar sources, as well as to respond to spikes in electricity spot price...
Donghun Lee, Warren B. Powell
HICSS
2010
IEEE
224views Biometrics» more  HICSS 2010»
14 years 3 months ago
Finding Success in Rapid Collaborative Requirements Negotiation Using Wiki and Shaper
Defining requirements without satisfying success critical stakeholders often leads to expensive project failures. Enabling interdisciplinary stakeholders to rapidly and effectivel...
Di Wu, Da Yang, Barry W. Boehm
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
14 years 3 months ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
IJON
2006
63views more  IJON 2006»
13 years 8 months ago
Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations
In this work we study the basic competitive and cooperative mechanisms of neural activity in the context of a two-alternative freechoice eye-movement task, as a function of the ex...
Daniel Martí, Gustavo Deco, Paolo Del Giudi...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 3 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...