195 search results - page 6 / 39 » Learning Agents for Uncertain Environments (Extended Abstrac... |
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
AAAI
2000
13 years 8 months ago
2000
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
AIIDE
2009
13 years 8 months ago
2009
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...