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IJCAI
2007
15 years 1 months ago
Augmented Experiment: Participatory Design with Multiagent Simulation
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuk...
NIPS
2007
15 years 1 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
AAAI
2006
15 years 1 months ago
The Keystone Scavenger Team
Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...
Jacky Baltes, John Anderson
AAAI
2006
15 years 1 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
AAAI
2006
15 years 1 months ago
Evaluating Preference-based Search Tools: A Tale of Two Approaches
People frequently use the world-wide web to find their most preferred item among a large range of options. We call this task preference-based search. The most common tool for pref...
Paolo Viappiani, Boi Faltings, Pearl Pu