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» Feudal Reinforcement Learning
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NIPS
2004
13 years 9 months ago
Multi-agent Cooperation in Diverse Population Games
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
K. Y. Michael Wong, S. W. Lim, Zhuo Gao
NIPS
2003
13 years 9 months ago
Policy Search by Dynamic Programming
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff...
ANOR
2005
80views more  ANOR 2005»
13 years 8 months ago
Entropic Penalties in Finite Games
The main objects here are finite-strategy games in which entropic terms are subtracted from the payoffs. After such subtraction each Nash equilibrium solves an explicit, unconstra...
Sjur Didrik Flåm, E. Cavazzuti
ALIFE
2002
13 years 8 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
IJCAI
2003
13 years 9 months ago
An Integrated Multilevel Learning Approach to Multiagent Coalition Formation
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
Leen-Kiat Soh, Xin Li