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ATAL
2003
Springer
14 years 26 days ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
CVPR
2010
IEEE
14 years 15 days ago
Motion Fields to Predict Play Evolution in Dynamic Sport Scenes
Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions and interactions are complex as they are driven by many factors, such as...
Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain...
SIGGRAPH
2000
ACM
13 years 12 months ago
Interactive control for physically-based animation
We propose the use of interactive, user-in-the-loop techniques for controlling physically-based animated characters. With a suitably designed interface, the continuous and discret...
Joseph Laszlo, Michiel van de Panne, Eugene Fiume
ACMACE
2007
ACM
13 years 11 months ago
Sound candy
Sound Candy is a device with which anyone in the world can create his/her own playground anywhere of using sounds and movements around him/her. In our daily life, we are surrounde...
Shuichi Ishibashi, Daisuke Uriu, Naohito Okude
AAAI
2007
13 years 10 months ago
Authorial Idioms for Target Distributions in TTD-MDPs
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, ...