1166 search results - page 47 / 234 » Negotiating Using Rewards |
MIRRORBOT
2005
Springer
14 years 2 months ago
2005
Springer
This paper explores the hypothesis that pointing gesture recognition can be learned using a reward based system. An experiment with two four-legged robots is presented. One of the...
AUSAI
1999
Springer
14 years 1 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
NECO
2010
13 years 7 months ago
2010
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
WPES
2003
ACM
14 years 2 months ago
2003
ACM
Trust negotiation is an approach to establishing trust between strangers through the bilateral, iterative disclosure of digital credentials. Under automated trust negotiation, acc...
AAAI
2007
13 years 11 months ago
2007
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...