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ATAL
2007
Springer
13 years 11 months ago
A computational characterization of multiagent games with fallacious rewards
Agents engaged in noncooperative interaction may seek to achieve a Nash equilibrium; this requires that agents be aware of others’ rewards. Misinformation about rewards leads to...
Ariel D. Procaccia, Jeffrey S. Rosenschein
CIE
2008
Springer
13 years 7 months ago
A Simple P-Matrix Linear Complementarity Problem for Discounted Games
The values of a two-player zero-sum binary discounted game are characterized by a P-matrix linear complementarity problem (LCP). Simple formulas are given to describe the data of t...
Marcin Jurdzinski, Rahul Savani
AIIDE
2008
13 years 7 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...
CORR
2011
Springer
230views Education» more  CORR 2011»
13 years 13 days ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
UAI
2000
13 years 6 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...