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Recent Advances in Reinforcement Learning [[electronic resource] ] : 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers / / edited by Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko
| Recent Advances in Reinforcement Learning [[electronic resource] ] : 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers / / edited by Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XII, 283 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer programming Computers Application software Database management Artificial Intelligence Programming Techniques Theory of Computation Computation by Abstract Devices Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-540-89722-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996466337803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Recent advances in reinforcement learning : 8th European workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008 : revised and selected papers / / Sertan Girgin ... [et al.] (eds.)
| Recent advances in reinforcement learning : 8th European workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008 : revised and selected papers / / Sertan Girgin ... [et al.] (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2008 |
| Descrizione fisica | 1 online resource (XII, 283 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | GirginSertan |
| Collana |
Lecture notes in computer science
Lecture notes in artifical intelligence |
| Soggetto topico |
Reinforcement learning
Learning, Psychology of |
| ISBN | 3-540-89722-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910768471303321 |
| Berlin ; ; New York, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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