4345 search results - page 185 / 869 » Relational Reinforcement Learning |
154
Voted
ECML
2005
Springer
15 years 9 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
114
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
138
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AAAI
2006
15 years 5 months ago
2006
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
149
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ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
DIGRA
2005
Springer
15 years 9 months ago
2005
Springer
This paper offers an approach to analyzing political rhetoric in videogames intended to carry ideological bias, based on cognitive linguist George Lakoff’s notion of metaphor an...