-
2
-
-
33747498411
-
Multiagent reinforcement learning - Uniting planning, theory, and various techniques for implementation
-
Arai S. Multiagent reinforcement learning - Uniting planning, theory, and various techniques for implementation. J Japan Soc Artif Intell 2001;16:476-481.
-
(2001)
J Japan Soc Artif Intell
, vol.16
, pp. 476-481
-
-
Arai, S.1
-
3
-
-
85156187730
-
Improving elevator performance using reinforcement learning
-
Crites RH, Barto AG. Improving elevator performance using reinforcement learning. Adv Neural Inf Process Syst 1996;8:1017-1023.
-
(1996)
Adv Neural Inf Process Syst
, vol.8
, pp. 1017-1023
-
-
Crites, R.H.1
Barto, A.G.2
-
4
-
-
84880902520
-
Reinforcement learning in distributed domains: Beyond team games
-
Seattle, WA
-
Wolpert DH, Sill J, Turner K. Reinforcement learning in distributed domains: Beyond team games. Proc 17th National Conference on Artificial Intelligence, p 819-824, Seattle, WA, 2001.
-
(2001)
Proc 17th National Conference on Artificial Intelligence
, pp. 819-824
-
-
Wolpert, D.H.1
Sill, J.2
Turner, K.3
-
5
-
-
33746143669
-
Perspective of multiagent social simulation
-
Kurumatani K. Perspective of multiagent social simulation. ISCIE J Syst Control Inf 2002;46:518-523.
-
(2002)
ISCIE J Syst Control Inf
, vol.46
, pp. 518-523
-
-
Kurumatani, K.1
-
6
-
-
33746162804
-
State space construction for cooperative behavior acquisition in the environments including multiple learning robots
-
Uchibe E, Asada M, Hosoda K. State space construction for cooperative behavior acquisition in the environments including multiple learning robots. J Robot Soc Japan 2002;20:281-289.
-
(2002)
J Robot Soc Japan
, vol.20
, pp. 281-289
-
-
Uchibe, E.1
Asada, M.2
Hosoda, K.3
-
9
-
-
33746129207
-
State-action space construction for multi-layered learning system
-
Takahashi Y, Asada M. State-action space construction for multi-layered learning system. J Robot Soc Japan 2003;21:164-171.
-
(2003)
J Robot Soc Japan
, vol.21
, pp. 164-171
-
-
Takahashi, Y.1
Asada, M.2
-
11
-
-
33745795734
-
Speeding up multiagent reinforcement learning by coarse-graining of perception: The hunter game
-
Ito A, Kanabuchi M. Speeding up multiagent reinforcement learning by coarse-graining of perception: The hunter game. Trans IEICE 2001;J84-D-I:285- 293.
-
(2001)
Trans IEICE
, vol.J84-D-I
, pp. 285-293
-
-
Ito, A.1
Kanabuchi, M.2
-
13
-
-
0003326518
-
Learning multiple goal behavior via task decomposition and dynamic policy merging
-
Kluwer Academic Publishers
-
Whitehead S, Karlsson J, Tenenberg J. Learning multiple goal behavior via task decomposition and dynamic policy merging. In: Robot learning. Kluwer Academic Publishers; 1993. p 45-78.
-
(1993)
Robot Learning
, pp. 45-78
-
-
Whitehead, S.1
Karlsson, J.2
Tenenberg, J.3
-
14
-
-
33746107610
-
Reinforcement learning using a policy estimate of the other agent in a two-agent stochastic game
-
Nagayuki Y, Ito M. Reinforcement learning using a policy estimate of the other agent in a two-agent stochastic game. Trans IEICE 2003;J86-D-I:821-829.
-
(2003)
Trans IEICE
, vol.J86-D-I
, pp. 821-829
-
-
Nagayuki, Y.1
Ito, M.2
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