Asada, M., Uchibe, E., Noda, S., Tawaratsumida, S., and Hosoda, K. (1994). A visionbased reinforcement learning for coordination of soccer playing behaviors. In Proc. of AAAI-94 Workshop on AI and A-life and Entertainment, pages 16--21. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Learning Team Strategies with Multiple.. - Salustowicz.. (1997) (Correct)
....are stored in probabilistic prototype trees that guide program synthesis. Soccer. To come up with a challenging scenario for our multiagent learning case study we decided on a non trivial soccer simulation. Soccer recently received much attention by various multiagent researchers (Sahota, 1993; Asada et al. 1994; Littman, 1994; Stone and Veloso, 1995; Matsubara et al. 1996) Most early research focused on physical coordination of soccer playing robots (Sahota, 1993; Asada et al. 1994) There also have been attempts to learn low level cooperation tasks such as pass play (Stone and Veloso, 1995; ....
....non trivial soccer simulation. Soccer recently received much attention by various multiagent researchers (Sahota, 1993; Asada et al. 1994; Littman, 1994; Stone and Veloso, 1995; Matsubara et al. 1996) Most early research focused on physical coordination of soccer playing robots (Sahota, 1993; Asada et al. 1994). There also have been attempts to learn low level cooperation tasks such as pass play (Stone and Veloso, 1995; Matsubara et al. 1996) Recently Stone and Veloso (1996) mentioned that even team strategies might be learnable by TD( or genetic methods. Published results on learning entire soccer ....
Asada, M., Uchibe, E., Noda, S., Tawaratsumida, S., and Hosoda, K. (1994). A visionbased reinforcement learning for coordination of soccer playing behaviors. In Proc. of AAAI-94 Workshop on AI and A-life and Entertainment, pages 16--21.
Learning Team Strategies: Soccer Case Studies - Rafal P. Salustowicz, Marco.. (1998) (15 citations) (Correct)
....programs. The probability distributions then guide program synthesis. Soccer. To come up with a challenging scenario for our multiagent learning case study we decided on a non trivial soccer simulation. Soccer recently received much attention by various multiagent researchers (Sahota, 1993; Asada et al. 1994; Littman, 1994; Stone Veloso, 1996a; Matsubara et al. 1996) Most early research focused on physical coordination of soccer playing robots (Sahota, 1993; Asada et al. 1994) There also have been attempts at learning low level cooperation tasks such as pass play (Stone Veloso, 1996a; ....
....a non trivial soccer simulation. Soccer recently received much attention by various multiagent researchers (Sahota, 1993; Asada et al. 1994; Littman, 1994; Stone Veloso, 1996a; Matsubara et al. 1996) Most early research focused on physical coordination of soccer playing robots (Sahota, 1993; Asada et al. 1994). There also have been attempts at learning low level cooperation tasks such as pass play (Stone Veloso, 1996a; Matsubara et al. 1996; Nadella Sen, LEARNING TEAM STRATEGIES 3 1996) Recently Stone Veloso (1996b) mentioned that even team strategies might be learnable by TD( or genetic ....
Asada, M., Uchibe, E., Noda, S., Tawaratsumida, S., & Hosoda, K. (1994). A vision-based reinforcement learning for coordination of soccer playing behaviors. In Proceedings of AAAI-94 Workshop on AI and A-life and Entertainment, pages 16--21.
Purposive Behavior Acquisition on a Real Robot by a .. - Asada, Noda.. (1994) (44 citations) Self-citation (Asada Noda Tawaratsumida Hosoda) (Correct)
....not made the real robot learn but only execute the optimal policy obtained by the computer simulation. We are planning to make the real robot begin to learn from the policy. As one extension of the work here, we have done some simulations of obtaining a shooting behavior avoiding a goal keeper [13]. Three kinds of coordinations of di erent behaviors (shooting and avoiding) are simulated and compared with each other. Now, we try to transfer the learned policy to real robots system. ....
M. Asada, E. Uchibe, S. Noda, S. Tawaratsumida, and K. Hosoda. \A vision-based reinforcement learning for coordination of soccer playing behaviors". In Proc. of AAAI-94 Workshop on AI and A-life and Entertainment, pages 16-21, 1994.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC