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» A novel method for learning policies from constrained motion
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ACCV
2009
Springer
13 years 11 months ago
Learning Group Activity in Soccer Videos from Local Motion
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yu...
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
13 years 11 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso
TCSV
2002
78views more  TCSV 2002»
13 years 4 months ago
Local bandwidth constrained fast inverse motion compensation for DCT-domain video transcoding
DCT-based digital video coding standards such as MPEG and H.26x are becoming more widely adopted for multimedia applications. Since the standards differ in their format and syntax...
Shizhong Liu, Alan C. Bovik
ICONIP
2007
13 years 6 months ago
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
Eiji Uchibe, Kenji Doya
JMLR
2010
189views more  JMLR 2010»
12 years 11 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...