2108 search results - page 216 / 422 » Tracking in Reinforcement Learning |
113
Voted
ANOR
2005
15 years 15 days 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...
112
Voted
ALIFE
2002
15 years 14 days 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...
117
Voted
AROBOTS
2008
15 years 5 days ago
2008
This paper presents a novel method for enabling a robot to determine the position of a sound source in three dimensions using just two microphones and interaction with its environm...
122
Voted
AGI
2011
14 years 4 months ago
2011
Under Legg’s and Hutter’s formal measure [1], performance in easy environments counts more toward an agent’s intelligence than does performance in difficult environments. An ...
128
Voted
CORR
2006
Springer
15 years 18 days ago
2006
Springer
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...