354 search results - page 37 / 71 » Learning Character Behaviors Using Agent Modeling in Games |
136
Voted
AAMAS
2002
Springer
15 years 3 months ago
2002
Springer
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
125
Voted
SIGCSE
2008
ACM
15 years 3 months ago
2008
ACM
In this hands-on special session, attendees will learn about and use a Game of Life cellular automata framework (Java) to assist with outreach activities. Using the framework, stu...
152
Voted
IJCAI
2001
15 years 5 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...
109
Voted
AGENTS
1997
Springer
15 years 8 months ago
1997
Springer
We report on an experiment to implement an autonomous creature situated in a two-dimensional world, that shows various learning and problem-solving capabilities, within the Societ...
150
Voted
LAMAS
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...