Improving Elevator Performance Using Reinforcement Learning

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 1017-1023

  Crites, Robert H ^a   Barto, Andrew G ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS TIME SYSTEMS; ELEVATORS; HEURISTIC ALGORITHMS; STOCHASTIC SYSTEMS;

ARRIVAL RATES; CONTINOUS TIME; CONTINUOUS STATE SPACE; DISCRETE EVENT DYNAMIC SYSTEMS; ELEVATOR SYSTEMS; NONSTATIONARY; PERFORMANCE; REAL-WORLD PROBLEM; REINFORCEMENT LEARNING AGENT; REINFORCEMENT LEARNINGS;

REINFORCEMENT LEARNING;

EID: 85156187730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. S. J. Bradtke and M. O. Duff. (1995) Reinforcement Learning Methods for Continuous-Time Markov Decision Problems. In: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge, MA.
3. J. Lewis. (1991) A Dynamic Load Balancing Approach to the Control of Multiserver Polling Systems with Applications to Elevator System Dispatching. PhD thesis, University of Massachusetts, Amherst, MA.
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7. G. Tesauro. (1995) Temporal Difference Learning and TD-Gammon. Communications of the ACM38:58-68.
8. C. J. C. H. Watkins. (1989) Learning from Delayed Rewards. PhD thesis, Cambridge University.