119 search results - page 1 / 24 » Average Reward Timed Games |
FORMATS
2005
Springer
13 years 10 months ago
2005
Springer
We consider real-time games where the goal consists, for each player, in maximizing the average amount of reward he or she receives per time unit. We consider zero-sum rewards, so ...
VMCAI
2009
Springer
14 years 14 hour ago
2009
Springer
We study price-per-reward games on hybrid automata with strong resets. They generalise priced games previously studied and have applications in scheduling. We obtain decidability r...
COLT
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
IJCAI
2001
13 years 6 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
AAAI
2007
13 years 7 months ago
2007
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...