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AAAI
2011
12 years 7 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ICCAD
1999
IEEE
99views Hardware» more  ICCAD 1999»
13 years 11 months ago
FunState - an internal design representation for codesign
In this paper, an internal design model called FunState (functions driven by state machines) is presented that enables the representation of different types of system components a...
Lothar Thiele, Karsten Strehl, Dirk Ziegenbein, Ro...
ATAL
2010
Springer
13 years 8 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 1 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim
AIPS
2009
13 years 8 months ago
A Conformant Planner with Explicit Disjunctive Representation of Belief States
This paper describes a novel and competitive complete conformant planner. Key to the enhanced performance is an efficient encoding of belief states as disjunctive normal form form...
Son Thanh To, Enrico Pontelli, Tran Cao Son