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Learning Optimal Robotic Tasks
Oleh:
Lima, P. U.
;
Saridis, G. N.
Jenis:
Article from Bulletin/Magazine
Dalam koleksi:
IEEE Intelligent Systems vol. 11 no. 2 (1996)
,
page 38-45.
Topik:
ROBOTIC
;
learning
;
optimal
;
robotic
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II60.1
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
A reinforcement learning system for machine-intelligence robots introduces a performance measure that balances an algorithm's reliability and computational cost. The system uses this measure to learn the best among a set of alternative tasks capable of executing a command communicated to the intelligent machine.
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