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tdahl library [23 articles]

最近 tdahl さんのライブラリ .
  • Applications of the self-organising map to reinforcement learning
    Neural Networks, Vol. 15, No. 15. (2002), pp. 1107-1124.
    by Andrew J Smith
    posted to self_organizing_maps reinforcement_learning by tdahl on 2008-07-15 22:36:10 as **
  • Real-time hierarchical POMDPs for autonomous robot navigation
    by A Foka, P Trahanias
    posted to reinforcement_learning model_based hierarchical by tdahl on 2008-07-15 22:23:55 as **
  • Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
    (2000), pp. 671-678.
    by Daniel Nikovski, Illah Nourbakhsh
    posted to reinforcement_learning model_based hidden_state by tdahl on 2008-07-15 22:19:36 as **
  • Learning hierarchical partially observable markov decision processes for robot navigation
    (2001)
    by G Theocharous, K Rohanimanesh, S Mahadevan
    posted to reinforcement_learning model_based hierarchical hidden_state by tdahl on 2008-07-15 22:17:04 as **
  • A Survey of Model-Based and Model-Free Methods for Resolving Perceptual Aliasing
    (2004)
    by Guy Shani
    posted to survey reinforcement_learning model_based hidden_state by tdahl on 2008-07-15 22:14:22 as **
  • Cortex And Mind: Unifying Cognition
    (30 September 2005)
    by Joaquin M Fuster
    posted to neurology human_learning hierarchical by tdahl on 2008-07-15 22:01:15 as **** along with 1 person and 2 groups wenhsin Neuroscience LanguageAndBrain
  • How hierarchical control self-organizes in artificial adaptive systems
    Adaptive Behavior, Vol. 13, No. 13. (2005)
    by Rainer W Paine, Jun Tani, Rainer W Paine, Jun Tani
    posted to reinforcement_learning model_based hierarchical by tdahl on 2008-07-15 21:58:23 as *****
  • Model Based Learning for Mobile Robot Navigation from the Dynamical Systems Perspective
    IEEE Trans. Syst. Man and Cybern. B, Vol. 26, No. 3. (1996), pp. 421-436.
    by J Tani
    posted to reinforcement_learning neural_network model_based hierarchical by tdahl on 2008-07-15 21:55:23 as read
  • HQ-Learning
    Adaptive Behavior, Vol. 6, No. 2. (1997), pp. 219-246.
    by M Wiering, J Schmidhuber
    posted to reinforcement_learning hierarchical by tdahl on 2008-07-15 21:52:51 as read
  • Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density
    (2001), pp. 361-368.
    by Amy Mcgovern, Andrew G Barto
    edited by Carla E Brodley, Andrea P Danyluk, Carla E Brodley, Andrea P Danyluk
    posted to reinforcement_learning hierarchical by tdahl on 2008-07-15 14:55:51 as read
  • Hidden state and reinforcement learning with instance-based state identification
    by A Mccallum
    posted to reinforcement_learning instance_based hidden_state by tdahl on 2008-07-15 14:51:42 as read
  • Finding Structure in Reinforcement Learning
    Vol. 7 (1995), pp. 385-392.
    by Sebastian Thrun, Anton Schwartz
    edited by G Tesauro, D Touretzky, T Leen
    posted to reinforcement_learning hierarchical by tdahl on 2008-07-15 14:49:00 as *****
  • Discovering hierarchy in reinforcement learning with hexq
    (2002)
    by B Hengst
    posted to reinforcement_learning hierarchical by tdahl on 2008-07-15 14:46:09 as read along with 2 people studentx Cavadini
  • The evolution of learning
    Biological Reviews, Vol. 79, No. 2. (2004), pp. 301-335.
    by Bruce R Moore
    posted to evolution animal_learning by tdahl on 2008-05-01 10:24:13 as **
  • Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
    (01 March 1998)
    by Richard S Sutton, Andrew G Barto
    posted to survey reinforcement_learning introduction by tdahl on 2008-05-01 10:21:09 as *** along with 17 people and 2 groups fbernardo jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn robotact Glimcher_Lab ReadingLab
  • Overcoming Incomplete Perception with Utile Distinction Memory
    (1993), pp. 190-196.
    by Andrew Mccallum
    posted to reinforcement_learning by tdahl on 2008-03-08 21:52:40 as **
  • Reinforcement Learning with Hierarchies of Machines
    Vol. 10 (1997)
    by Ronald Parr, Stuart Russell
    edited by Michael I Jordan, Michael J Kearns, Sara A Solla
    posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:45:45 as ** along with 1 person Blza
  • Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
    Journal of Artificial Intelligence Research, Vol. 13 (2000), pp. 227-303.
    by Thomas G Dietterich
    posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:45:06 as ** along with 2 people rwm101 Maderlock
  • Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
    Artificial Intelligence, Vol. 112, No. 1-2. (1999), pp. 181-211.
    by Richard S Sutton, Doina Precup, Satinder P Singh
    posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:43:21 as ** along with 1 person Scis0000002
  • Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization: First experiments with the HASSLE algorithm
    (2003)
    by B Bakker, J Schmidhuber
    posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:40:04 as ** along with 1 person scis0000001
  • Reinforcement Learning: A Survey
    Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285.
    by Leslie P Kaelbling, Michael L Littman, Andrew P Moore
    posted to reinforcement_learning survey by tdahl on 2008-03-08 21:38:23 as ** along with 20 people and 5 groups Tominator KurtSteinkraus eldan unnonouno dep vaasu cyph3r davidmihalcik craigtalbert damcci hllee lop afoerster gagliol sugarexpletive mzygmunt dowlingj josepe docB bach Glimcher_Lab Netmob P2P SensorNetworks kickOffTUG-Robocup
  • Recent advances in hierarchical reinforcement learning
    (2003)
    by A Barto, S Mahadevan
    posted to hierarchical reinforcement_learning survey by tdahl on 2008-03-08 21:35:11 as ** along with 1 person trvs2cool
  • Self-segmentation of Sequences: Automatic Formation of Hierarchies of Sequential Behaviors
    No. 609951-2781. (1999)
    by R Sun, C Sessions
    posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 20:03:23 as **
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