Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Meeden, Lisa"'
Reinforcement Learning (RL) is known to be often unsuccessful in environments with sparse extrinsic rewards. A possible countermeasure is to endow RL agents with an intrinsic reward function, or 'intrinsic motivation', which rewards the agent based o
Externí odkaz:
http://arxiv.org/abs/2107.07031
Publikováno v:
AI Magazine; Vol 27, No 1: Spring 2006; 39
This article introduces Pyro, an open-source Python robotics toolkit for exploring topics in AI and robotics. We present key abstractions that allow Pyro controllers to run unchanged on a variety of real and simulated robots. We demonstrate Pyro's us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07384602::53b5836d971517ad11727db4ddea0029
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v27i1.1862
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v27i1.1862
Autor:
Maxwell, Bruce A., Meeden, Lisa A., Addo, Nii Saka, Dickson, Paul, Fairfield, Nathaniel, Johnson, Nikolas, Jones, Edward G., Kim, Suor, Malla, Pukar, Murphy, Matthew, Rutter, Brandon, Silk, Eli
Publikováno v:
AI Magazine; Vol 22, No 1: Spring 2001; 53
This article describes the winning entries in the 2000 Association for the Advancement of Artificial Intelligence Mobile Robot Competition. The robots, developed by Swarthmore College, all used a modular hybrid architecture designed to enable reflexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07384602::4d57d8e1ce1b35c46bc3b24e3c23f557
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v22i1.1543
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v22i1.1543
Autor:
Meeden, Lisa, Schultz, Alan, Balch, Tucker, Bhargava, Rahul, Haigh, Karen Zita, Bohlen, Marc, Stein, Cathryne, Miller, David
Publikováno v:
AI Magazine; Vol 21, No 3: Fall 2000; 69
The Eighth Annual Mobile Robot Competition and Exhibition was held as part of the Sixteenth National Conference on Artificial Intelligence in Orlando, Florida, 18 to 22 July. The goals of these robot events are to foster the sharing of research and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07384602::66e6c6d08f4cdee1a611431b48fdc694
http://aaai.org/ojs/index.php/aimagazine/article/view/1525
http://aaai.org/ojs/index.php/aimagazine/article/view/1525
Publikováno v:
AI Magazine; Vol 18, No 4: Winter 1997; 149
This article posits the idea of robot learning as a new subfield. The results of the Robolearn-96 Workshop provide evidence that learning in modern robotics is distinct from traditional machine learning. The article examines the role of robotics in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07384602::2c7665b155c30435cf3e1edfe9460a66
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v18i4.1327
http://aaai.org/ojs/index.php/aimagazine/article/view/10.1609/aimag.v18i4.1327
Autor:
Maxwell, Bruce A., Meeden, Lisa A.
Publikováno v:
IEEE Intelligent Systems & Their Applications. Nov/Dec2000, Vol. 15 Issue 6, p22. 6p. 1 Color Photograph.
Publikováno v:
Proceedings of the 8th Annual Conference: Innovation & Technology in Computer Science Education; 6/30/2003, p188-192, 5p
Publikováno v:
Proceedings of the 34th SIGCSE Technical Symposium: Computer Science Education; 2/19/2003, p317-321, 5p
Autor:
Newhall, Tia, Meeden, Lisa
Publikováno v:
Proceedings of the 33rd SIGCSE Technical Symposium: Computer Science Education; 2/27/2002, p386-390, 5p
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