4446 search results - page 134 / 890 » Learning Observer Agents |
150
Voted
LAMAS
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
149
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CORR
2011
Springer
14 years 7 months ago
2011
Springer
In this paper, we confront the problem of applying reinforcement learning to agents that perceive the environment through many sensors and that can perform parallel actions using ...
113
Voted
AAMAS
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
109
Voted
ICALT
2003
IEEE
15 years 9 months ago
2003
IEEE
This paper discusses issues related with learning resources brokerage systems. It introduces a market-based modeling approach and proposes a virtual market model design of a broke...
135
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AAAI
2004
15 years 5 months ago
2004
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...