Self-improving reactive agents based on reinforcement learning, planning and teaching
- 1 May 1992
- journal article
- Published by Springer Nature in Machine Learning
- Vol. 8 (3-4) , 293-321
- https://doi.org/10.1007/bf00992699
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Self-improving Reactive Agents: Case Studies of Reinforcement Learning FrameworksPublished by MIT Press ,1991
- Complexity and Cooperation in Q-LearningPublished by Elsevier ,1991
- Learning a Cost-Sensitive Internal Representation for Reinforcement LearningPublished by Elsevier ,1991
- Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spacesPublished by Elsevier ,1991
- Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption ArchitecturePublished by Elsevier ,1991
- Self-improvement Based On Reinforcement Learning, Planning and TeachingPublished by Elsevier ,1991
- Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic ProgrammingPublished by Elsevier ,1990
- A Role for Anticipation in Reactive Systems that LearnPublished by Elsevier ,1989
- Strategy Learning with Multilayer Connectionist RepresentationsPublished by Elsevier ,1987
- Generalization as searchArtificial Intelligence, 1982