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ILP
2007
Springer
15 years 4 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
AAAI
1993
15 years 2 days ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
CORR
2008
Springer
98views Education» more  CORR 2008»
14 years 11 months ago
Information Acquisition and Exploitation in Multichannel Wireless Networks
A wireless system with multiple channels is considered, where each channel has several transmission states. A user learns about the instantaneous state of an available channel by ...
Sudipto Guha, Kamesh Munagala, Saswati Sarkar
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
14 years 9 months ago
Variable resolution decomposition for robotic navigation under a POMDP framework
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Robert Kaplow, Amin Atrash, Joelle Pineau
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 3 months ago
A hybrid control approach to multi-robot coordinated path following
— The paper studies the coordinated path following problem, namely, steering a group of unicycles to a given path while achieving an inter-vehicle formation pattern. A novel hybr...
Ying Lan, Gangfeng Yan, Zhiyun Lin