47 search results - page 2 / 10 » Model-Based Reinforcement Learning in a Complex Domain |
IAT
2008
IEEE
13 years 4 months ago
2008
IEEE
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
AI
1998
Springer
13 years 4 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...
ICEIS
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper presents a Model-Based graphical editor for supporting the creation of conceptual models and domain ontologies in a philosophically and cognitively well-founded modeling...
AAAI
1993
13 years 6 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...