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» Combining search and action for mobile robots
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IROS
2008
IEEE
167views Robotics» more  IROS 2008»
16 years 13 days ago
Active rough shape estimation of unknown objects
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
Claire Dune, Éric Marchand, Christophe Coll...
ATAL
2009
Springer
16 years 19 days ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
ICLP
2011
Springer
14 years 9 months ago
Transaction Logic with Defaults and Argumentation Theories
Transaction Logic is an extension of classical logic that gracefully integrates both declarative and procedural knowledge and has proved itself as a powerful formalism for many ad...
Paul Fodor, Michael Kifer
ATAL
2005
Springer
15 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
COSIT
2009
Springer
146views GIS» more  COSIT 2009»
16 years 18 days ago
Decentralized Time Geography for Ad-Hoc Collaborative Planning
For an autonomous physical agent, such as a moving robot or a person with their mobile device, performing a task in a spatio-temporal environment often requires interaction with ot...
Martin Raubal, Stephan Winter, Christopher Dorr