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Detail
ArtikelLearning 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 artikelA 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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