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ECML
2006
Springer
13 years 11 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
AAAI
1994
13 years 9 months ago
A Plan-Based Model for Response Generation in Collaborative Task-Oriented Dialogues
This paper presents a plan-based architecture for response generation in collaborative consultation dialogues, with emphasis on cases in which the system (consultant) and user (ex...
Jennifer Chu-Carroll, Sandra Carberry
WSC
2004
13 years 9 months ago
IAGO Project and Development of Compound Agents
The IAGO Project explores the question of whether a software model, in the form of a computational model of cognitive behavior, can contribute to better anticipation of asymmetric...
John E. Hiles
CHI
2004
ACM
14 years 8 months ago
Variation in element and action: supporting simultaneous development of alternative solutions
The complexity of many problems necessitates creating and exploring multiple, alternative solutions. However, current user interfaces do not cleanly support creating alternatives ...
Michael A. Terry, Elizabeth D. Mynatt, Kumiyo Naka...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 2 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...