
- Evolution of Neural Architecture Fitting Environmental Dynamics
- Multiple Model-based Reinforcement Learning Kenji Doya1235
- Robotics and Autonomous Systems 54 (2006) 873884 www.elsevier.com/locate/robot
- A multi-agent reinforcement learning method with the estimation of the other agent's actions
- Abstract. Mean ring rates (MFRs), with analogue values, have thus far been used as information carriers
- Published online 17 February 2003 A unifying computational framework for motor control
- Recurrent Networks: Learning Algorithms ATR Human Information Science Laboratories; CREST, JST
- Multi-dimensional Range Queries in Sensor Networks Young Jin Kim
- Multiple Representations and Algorithms for Sequence Learning
- BSIS Techincal Reports No.98-5 Benefit of Multiple Representations for Motor
- Parallel Cortico-Basal Ganglia Mechanisms for Acquisition and Execution of Visuo-Motor Sequences -A Computational Approach
- Motor Control: Neural Models and System Theory
- fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of
- Responding to modalities with different latencies Fredrik Bissmarck
- Abstract of the 13th Toyota Conference on Affective Minds (1999). METALEARNING, NEUROMODULATION AND EMOTION
- Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction on
- IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 11, NO. 2, APRIL 2007 249 Evolutionary Development of Hierarchical
- International Symposium on Emergent Mechanisms of Communication (IEMC 2003). Selecting Optimal Behaviors Based on Contexts
- Evolution of metaparamters in reinforcement learning Anders Eriksson1
- DRAFT: August 17, 2000. To appear in Current Opinion in Neurobiology, vol. 10, no. 6 (2000).
- Estimating Internal Variables and Parameters of a Learning Agent by a
- Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and
- Metalearning and Neuromodulation Kenji Doya a,b
- G. Hatano, N. Okada and H. Tanabe (Eds.), Affective Minds, pp. 101-104. Elsevier Science B. V. (2000). 1
- Robust Reinforcement Learning Jun Morimoto
- Selection of Neural Architecture and the Environment Complexity
- An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical
- What are the Computations of the Cerebellum, the Basal Gangila, and the Cerebral Cortex?
- Nitric Oxide Regulates Input Specificity of Long-Term Depression and Context
- Multiple Model-based Reinforcement Learning Kenji Doya1235