700 search results - page 59 / 140 » Combinations of Stit and Actions |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
ALT
2005
Springer
14 years 4 months ago
2005
Springer
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
ICALP
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We study a model of games that combines concurrency, imperfect information and stochastic aspects. Those are finite states games in which, at each round, the two players...
SAGT
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper studies a setting where a principal needs to motivate teams of agents whose efforts lead to an outcome that stochastically depends on the combination of agent...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...