513 search results - page 22 / 103 » Metric learning for reinforcement learning agents |
137
Voted
HIS
2004
15 years 1 months ago
2004
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
120
Voted
GECCO
2000
Springer
15 years 4 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
93
Voted
CORR
2000
Springer
15 years 8 days ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
115
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JAIR
2008
15 years 13 days ago
2008
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...