Linearly-solvable Markov decision problems

NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems

Volumn , Issue , 2006, Pages 1369-1376

  Todorov, Emanuel ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING; EIGENVALUES AND EIGENFUNCTIONS; GRAPH THEORY; LEARNING ALGORITHMS; LINEAR TRANSFORMATIONS; MARKOV PROCESSES; OPTIMAL SYSTEMS; PROBLEM SOLVING; REINFORCEMENT LEARNING;

CONTINUOUS CONTROL; CONTROL COSTS; CONTROL SPACES; DISCRETE STATE SPACE; MARKOV DECISION PROBLEM; OPTIMAL VALUE FUNCTIONS; REINFORCEMENT LEARNINGS; RESCALING; STATE-SPACE CONTROL; TRANSITION PROBABILITIES;

INTEGER PROGRAMMING;

EID: 84923382376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. B. Scholkopf and A. Smola, Learning with kernels. MIT Press (2002)
2. S. Boyd and L. Vandenberghe, Convex optimization. Cambridge University Press (2004)
3. D. Bertsekas, Dynamic programming and optimal control (2nd ed). Athena Scientific (2000)
4. F. Chung, Spectral graph theory. CMBS Regional Conference Series in Mathematics (1997)