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Reinforcement Learning
Neural Network
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(32)
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Reinforcement Learning for Robots Using Neural Networks
Reinforcement Learning for Robots Using Neural Networks,L. J Lin
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Reinforcement Learning for Robots Using Neural Networks
(
Citations: 149
)
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L. J Lin
Published in 1993.
Cumulative
Annual
Citation Context
(68)
...In the context of classical RL, the problem of designing or learning what is analogous to a perceptual mapping - a value function approximation - has been well-studied [21], [15], [
10
], but mainly in the context of continuous but low dimensional state spaces...
Matthew Luciw
,
et al.
Artificial curiosity with planning for autonomous perceptual and cogni...
...Following the research described in [
17
] each NN is dedicated to one action-type...
Amirhosein Shantia
,
et al.
Connectionist reinforcement learning for intelligent unit micro manage...
...96 Auton Agent Multi-Agent Syst (2009) 18:83–105 experience replay [
14
] every 1000 steps...
Thomas J. Walsh
,
et al.
Learning and planning in environments with delayed feedback
...One of the most popular RL algorithms is Q-learning [26] and its variations such as Q-PSP [27], and hierarchical Q-learning [
28
]...
Terry Huntsberger
.
Onboard Learning of Adaptive Behavior: Biologically Inspired and Forma...
...Because the approach is unrealistic for robots in practical settings [
13
], we conducted a series of supervised learning experiments involving robots equipped with dynamic neuralnetwork models [14]–[16]...
Jun Tani
,
et al.
Codevelopmental Learning Between Human and Humanoid Robot Using a Dyna...
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Citations
(149)
Artificial curiosity with planning for autonomous perceptual and cognitive development
(
Citations: 1
)
Matthew Luciw
,
Vincent Graziano
,
Mark Ring
,
Jurgen Schmidhuber
Conference:
IEEE International Conference on Development and Learning - ICDL
, vol. 2, pp. 1-8, 2011
Connectionist reinforcement learning for intelligent unit micro management in StarCraft
Amirhosein Shantia
,
Eric Begue
,
Marco Wiering
Conference:
International Symposium on Neural Networks - ISNN
, pp. 1794-1801, 2011
Learning and planning in environments with delayed feedback
(
Citations: 2
)
Thomas J. Walsh
,
Ali Nouri
,
Lihong Li
,
Michael L. Littman
Journal:
Autonomous Agents and Multi-agent Systems - AAMAS
, vol. 18, no. 1, pp. 83-105, 2009
Onboard Learning of Adaptive Behavior: Biologically Inspired and Formal Methods
Terry Huntsberger
Conference:
Advanced Technologies for Enhanced Quality of Life - AT-EQUAL
, 2009
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
(
Citations: 19
)
Jun Tani
,
Ryunosuke Nishimoto
,
Jun Namikawa
,
Masato Ito
Journal:
IEEE Transactions on Systems, Man, and Cybernetics - TSMC
, vol. 38, no. 1, pp. 43-59, 2008