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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 3 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ACG
2003
Springer
15 years 3 months ago
Monte-Carlo Go Developments
We describe two Go programs,  ¢¡¤£¦¥ and  ¢¡¤§¨£ , developed by a Monte-Carlo approach that is simpler than Bruegmann’s (1993) approach. Our method is based on Abra...
Bruno Bouzy, Bernard Helmstetter
AROBOTS
2004
77views more  AROBOTS 2004»
14 years 9 months ago
Planetary Cliff Descent Using Cooperative Robots
Future robotic planetary exploration will need to traverse geographically diverse and challenging terrain. Cliffs, ravines, and fissures are of great scientific interest because th...
Erik Mumm, Shane Farritor, Paolo Pirjanian, Chris ...
HPDC
2007
IEEE
15 years 4 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
PADS
1999
ACM
15 years 2 months ago
Shock Resistant Time Warp
In an attempt to cope with time-varying workload, traditional adaptive Time Warp protocols are designed to react in response to performance changes by altering control parameter c...
Alois Ferscha, James Johnson