Recent advances in reinforcement learning 8th European workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008 : revised and selected papers /

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...

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Bibliographic Details
Corporate Authors: EWRL 2008 Villeneuve d'Ascq, France, SpringerLink (Online service)
Other Authors: Girgin, Sertan
Format: Conference Proceeding eBook
Language:English
Published: Berlin ; New York : Springer, 2008.
Berlin ; New York : 2008.
Series:Lecture notes in computer science ; 5323.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. Artificial intelligence.
Physical Description:
1 online resource (xii, 281 pages) : illustrations.
Subjects:
Reinforcement learning -- Congresses.
Online Access:SpringerLink - Click here for access
Contents:
  • 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.

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