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» Metric learning for reinforcement learning agents
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99
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ATAL
2008
Springer
15 years 2 months ago
Social reward shaping in the prisoner's dilemma
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
AAAI
2010
15 years 1 months ago
Towards Multiagent Meta-level Control
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
Shanjun Cheng, Anita Raja, Victor R. Lesser
124
Voted
ATAL
2006
Springer
15 years 4 months ago
Convergence analysis for collective vocabulary development
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
Jun Wang, Les Gasser, Jim Houk
GAMEON
2003
15 years 1 months ago
Automatic Acquisition of Actions for Animated Agents
The generation of animated human figures especially in crowd scenes has many applications in such domains as the special effects industry, computer games or for the simulation of ...
Adam Szarowicz, Marek Mittmann, Paolo Remagnino, J...
NIPS
2004
15 years 1 months ago
Responding to Modalities with Different Latencies
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, ...