Sanner, Scott.
Recent Advances in Reinforcement Learning 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers / [electronic resource] : edited by Scott Sanner, Marcus Hutter. - XIII, 345 p. online resource. - Lecture Notes in Computer Science, 7188 0302-9743 ; . - Lecture Notes in Computer Science, 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
Computer science.
Computer software.
Database management.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Information Systems Applications (incl. Internet).
Database Management.
Probability and Statistics in Computer Science.
Q334-342 TJ210.2-211.495
006.3
Recent Advances in Reinforcement Learning 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers / [electronic resource] : edited by Scott Sanner, Marcus Hutter. - XIII, 345 p. online resource. - Lecture Notes in Computer Science, 7188 0302-9743 ; . - Lecture Notes in Computer Science, 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
Computer science.
Computer software.
Database management.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Information Systems Applications (incl. Internet).
Database Management.
Probability and Statistics in Computer Science.
Q334-342 TJ210.2-211.495
006.3