Value and reward based learning in neurorobots

Frontiers in Neurorobotics

Volumn 7, Issue SEP, 2013, Pages

  Krichmar L , Jeffrey ^a   Röhrbein, Florian ^b  

^a Irvine   (United States)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Action selection; Basal ganglia; Embodied cognition; Neuromodulation; Neurorobotics; Reinforcement learning; Reward based learning; Value system

Indexed keywords

CENTRAL PATTERN GENERATOR; DECISION MAKING; EDITORIAL; HUMAN; LEARNING; NEUROBIOLOGY; NEUROMODULATION; REINFORCEMENT; REWARD; ROBOTICS;

EID: 84904903936     PISSN: None     EISSN: 16625218     Source Type: Journal    
DOI: 10.3389/fnbot.2013.00013     Document Type: Editorial

References (9)

1. Bolado-Gomez, R., and Gurney, K. (2013). A biologically plausible embodied model of action discovery. Front. Neurorobot. 7:4. doi: 10.3389/fnbot.2013.00004
2. Elfwing, S., Uchibe, E., and Doya, K. (2013). Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Front. Neurorobot. 7:3. doi: 10.3389/fnbot.2013.00003
3. Friston, K., Adams, R., and Montague, R. (2012). What is value-accumulated reward or evidence? Front. Neurorobot. 6:11. doi: 10.3389/fnbot.2012.00011
4. Jayet Bray, L. C., Ferneyhough, G. B., Barker, E. R., Thibeault, C. M., and Harris, F. C. Jr., (2013). Reward-based learning for virtual neurorobotics through emotional speech processing. Front. Neurorobot. 7:8. doi: 10.3389/fnbot.2013.00008
5. Kinjo, K., Uchibe, E., and Doya, K. (2013). Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. Front. Neurorobot. 7:7. doi: 10.3389/fnbot.2013.00007
6. Krichmar, J. L. (2013). A neurorobotic platform to test the influence of neuromodulatory signaling on anxious, and curious behavior. Front. Neurorobot. 7:1. doi: 10.3389/fnbot.2013.00001
7. Li, C., Lowe, R., and Ziemke, T. (2013). Humanoids learning to walk:a natural CPG-actor-critic architecture. Front. Neurorobot. 7:5. doi: 10.3389/fnbot.2013.00005
8. Luciw, M., Kompella, V., Kazerounian, S., and Schmidhuber, J. (2013). An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Front. Neurorobot. 7:9. doi: 10.3389/fnbot.2013.00009
9. Soltosggio, A., Lemme, A., Reinhart, F., and Steil, J. J. (2013). Rare neural correlations implement robotic conditioning with delayed rewards and disturbances. Front. Neurorobot. 7:6. doi: 10.3389/fnbot.2013.00006