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» Reduction Relations for Agent Models
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156
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NIPS
2001
15 years 5 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
ATAL
2010
Springer
15 years 4 months ago
Strategic planning for probabilistic games with incomplete information
Alternating-time Temporal Logic (ATL) [1] is used to reason about strategic abilities of agents. Aiming at strategies that can realistically be implemented in software, many varia...
Henning Schnoor
128
Voted
ICML
2010
IEEE
15 years 4 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...
ATAL
2008
Springer
15 years 5 months ago
Conviviality masks in multiagent systems
In this paper we study tools for conviviality to develop user-friendly multiagent systems. First, we show how to use the social-cognitive concept of conviviality in multiagent sys...
Patrice Caire, Serena Villata, Guido Boella, Leend...
130
Voted
ICML
2010
IEEE
15 years 4 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre