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AI
1999
Springer
13 years 5 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
NIPS
2001
13 years 6 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
TOG
2008
117views more  TOG 2008»
13 years 5 months ago
Video puppetry: a performative interface for cutout animation
We present a video-based interface that allows users of all skill levels to quickly create cutout-style animations by performing the character motions. The puppeteer first creates...
Connelly Barnes, David E. Jacobs, Jason Sanders, D...
ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 4 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
13 years 11 months ago
Bio-inspired Model of Robot Adaptive Learning and Mapping
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
Alejandra Barrera Ramirez, Alfredo Weitzenfeld Rid...