110 search results - page 8 / 22 » Learning Action Strategies for Planning Domains |
IJCAI
2007
13 years 8 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
AAAI
2012
11 years 9 months ago
2012
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
ROBOCUP
2007
Springer
14 years 25 days ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
IUI
2003
ACM
13 years 12 months ago
2003
ACM
Interactive tools to help users author plans or processes are essential in a variety of domains. KANAL helps users author sound plans by simulating them, checking for a variety of...