453 search results - page 10 / 91 » Learning from actions not taken: a multiagent learning algor... |
85
Voted
KES
2004
Springer
15 years 3 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
101
click to vote
ML
1998
ACM
14 years 9 months ago
1998
ACM
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
162
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ICCCI
2011
Springer
13 years 9 months ago
2011
Springer
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
94
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
84
Voted
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...