1236 search results - page 195 / 248 » Opposition-Based Reinforcement Learning |
NIPS
2003
13 years 11 months ago
2003
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...
ANOR
2005
13 years 9 months ago
2005
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...
ALIFE
2002
13 years 9 months ago
2002
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...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
IJCAI
2003
13 years 11 months ago
2003
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...