Recent Advances in Reinforcement Learning 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Girgin, Sertan (Επιμελητής έκδοσης), Loth, Manuel (Επιμελητής έκδοσης), Munos, Rémi (Επιμελητής έκδοσης), Preux, Philippe (Επιμελητής έκδοσης), Ryabko, Daniil (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5323
• Θέματα: Computer science.; Computer programming.; Computers.; Database management.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Theory of Computation.; Computation by Abstract Devices.; Information Systems Applications (incl. Internet).; Database Management.

This book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008. The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated...

Πίνακας περιεχομένων:

• Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees
• Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
• Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
• Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
• Regularized Fitted Q-Iteration: Application to Planning
• A Near Optimal Policy for Channel Allocation in Cognitive Radio
• Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets
• Bayesian Reward Filtering
• Basis Expansion in Natural Actor Critic Methods
• Reinforcement Learning with the Use of Costly Features
• Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
• Optimistic Planning of Deterministic Systems
• Policy Iteration for Learning an Exercise Policy for American Options
• Tile Coding Based on Hyperplane Tiles
• Use of Reinforcement Learning in Two Real Applications
• Applications of Reinforcement Learning to Structured Prediction
• Policy Learning – A Unified Perspective with Applications in Robotics
• Probabilistic Inference for Fast Learning in Control
• United We Stand: Population Based Methods for Solving Unknown POMDPs
• New Error Bounds for Approximations from Projected Linear Equations
• Markov Decision Processes with Arbitrary Reward Processes.