Book Volume 8188 2013

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I

ISBN: 978-3-642-40987-5 (Print) 978-3-642-40988-2 (Online)

Table of contents (43 chapters)

previous Page of 3
  1. Front Matter

    Pages -

  2. Reinforcement Learning

    1. No Access

      Chapter and Conference Paper

      Pages 1-16

      A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning

    2. No Access

      Chapter and Conference Paper

      Pages 17-32

      Learning from Demonstrations: Is It Worth Estimating a Reward Function?

    3. No Access

      Chapter and Conference Paper

      Pages 33-48

      Recognition of Agents Based on Observation of Their Sequential Behavior

    4. No Access

      Chapter and Conference Paper

      Pages 49-64

      Learning Throttle Valve Control Using Policy Search

    5. No Access

      Chapter and Conference Paper

      Pages 65-80

      Model-Selection for Non-parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System

    6. No Access

      Chapter and Conference Paper

      Pages 81-96

      Learning Graph-Based Representations for Continuous Reinforcement Learning Domains

    7. No Access

      Chapter and Conference Paper

      Pages 97-112

      Regret Bounds for Reinforcement Learning with Policy Advice

    8. No Access

      Chapter and Conference Paper

      Pages 113-128

      Exploiting Multi-step Sample Trajectories for Approximate Value Iteration

  3. Markov Decision Processes

    1. No Access

      Chapter and Conference Paper

      Pages 129-144

      Expectation Maximization for Average Reward Decentralized POMDPs

    2. No Access

      Chapter and Conference Paper

      Pages 145-161

      Properly Acting under Partial Observability with Action Feasibility Constraints

    3. No Access

      Chapter and Conference Paper

      Pages 162-177

      Iterative Model Refinement of Recommender MDPs Based on Expert Feedback

    4. No Access

      Chapter and Conference Paper

      Pages 178-193

      Solving Relational MDPs with Exogenous Events and Additive Rewards

    5. No Access

      Chapter and Conference Paper

      Pages 194-209

      Continuous Upper Confidence Trees with Polynomial Exploration – Consistency

  4. Active Learning and Optimization

    1. No Access

      Chapter and Conference Paper

      Pages 210-224

      A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization

    2. No Access

      Chapter and Conference Paper

      Pages 225-240

      Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration

    3. No Access

      Chapter and Conference Paper

      Pages 241-256

      Greedy Confidence Pursuit: A Pragmatic Approach to Multi-bandit Optimization

    4. No Access

      Chapter and Conference Paper

      Pages 257-272

      A Time and Space Efficient Algorithm for Contextual Linear Bandits

    5. No Access

      Chapter and Conference Paper

      Pages 273-288

      Knowledge Transfer for Multi-labeler Active Learning

  5. Learning from Sequences

    1. No Access

      Chapter and Conference Paper

      Pages 289-304

      Spectral Learning of Sequence Taggers over Continuous Sequences

    2. No Access

      Chapter and Conference Paper

      Pages 305-320

      Fast Variational Bayesian Linear State-Space Model

previous Page of 3