Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret B…
We present an algorithm based on posterior sampling (aka Thompson sampling) that achieves near-optimal worst-case regret bounds when the underlying Markov decision process (MDP) is communicating wi…
Learning in Structured MDPs with Convex Cost Functions : Improved Regret Boun…
We consider a stochastic inventory control problem under censored demand, lost sales, and positive lead times. This is a fundamental problem in inventory management, with significant literature est…
Hasil Pencarian
Ditemukan 7 dari pencarian Anda melalui kata kunci: Pengarang : "Agrawal, Shipra"
Permintaan membutuhkan 0,58751 detik untuk selesai
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah