128 search results - page 23 / 26 » Hierarchically Optimal Average Reward Reinforcement Learning |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are N arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A play...
NIPS
2004
13 years 9 months ago
2004
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
IJCAI
2007
13 years 9 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
IJRR
2008
13 years 7 months ago
2008
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...