195 search results - page 35 / 39 » Learning Agents for Uncertain Environments (Extended Abstrac... |
AI
1998
Springer
13 years 7 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
ASM
2004
ASM
14 years 24 days ago
2004
ASM
For a while it seemed possible to pretend that all interaction between an algorithm and its environment occurs inter-step, but not anymore. Andreas Blass, Benjamin Rossman and the ...
AI
2007
Springer
13 years 7 months ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
EC
2008
13 years 7 months ago
2008
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...