Recent Advances in Reinforcement Learning 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised and Selected Papers /
Recent Advances in Reinforcement Learning 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised and Selected Papers / [electronic resource] :
edited by Scott Sanner, Marcus Hutter.
- 1st ed. 2012.
- XIII, 345 p. 98 illus. online resource.
- Lecture Notes in Artificial Intelligence, 7188 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 7188 .
This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections online reinforcement learning, learning and exploring MDPs, function approximation methods for reinforcement learning, macro-actions in reinforcement learning, policy search and bounds, multi-task and transfer reinforcement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.
9783642299469
10.1007/978-3-642-29946-9 doi
Artificial intelligence.
Computer science.
Algorithms.
Application software.
Database management.
Computer science--Mathematics.
Mathematical statistics.
Artificial Intelligence.
Theory of Computation.
Algorithms.
Computer and Information Systems Applications.
Database Management.
Probability and Statistics in Computer Science.
Q334-342 TA347.A78
006.3
This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections online reinforcement learning, learning and exploring MDPs, function approximation methods for reinforcement learning, macro-actions in reinforcement learning, policy search and bounds, multi-task and transfer reinforcement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.
9783642299469
10.1007/978-3-642-29946-9 doi
Artificial intelligence.
Computer science.
Algorithms.
Application software.
Database management.
Computer science--Mathematics.
Mathematical statistics.
Artificial Intelligence.
Theory of Computation.
Algorithms.
Computer and Information Systems Applications.
Database Management.
Probability and Statistics in Computer Science.
Q334-342 TA347.A78
006.3