Rémi Munos

Rémi Munos

Google DeepMind
inria.fr의 이메일 확인됨
43956회 인용
Reinforcement learning RLHF MCTS bandit theory statistical learning
Julian Zimmert

Julian Zimmert

Google Research
google.com의 이메일 확인됨
1065회 인용
Bandit theory Reinforcement Learning Machine Learning
Rémy Degenne

Rémy Degenne

Inria Lille
inria.fr의 이메일 확인됨
638회 인용
Machine Learning Bandit Theory Online Learning
Tomáš Kocák

Tomáš Kocák

University of Potsdam
uni-potsdam.de의 이메일 확인됨
421회 인용
Machine learning online learning bandit theory sequential learning with similarities
Maurilio Gutzeit

Maurilio Gutzeit

IQTIG Berlin
iqtig.org의 이메일 확인됨
317회 인용
Statistics Biometry Hypothesis Testing Bandit Theory
Xuedong Shang

Xuedong Shang

INRIA (SequeL -> SCOOL)
inria.fr의 이메일 확인됨
309회 인용
bandit theory optimization reinforcement learning automated machine learning
Evrard Garcelon

Evrard Garcelon

Facebook AI Research
fb.com의 이메일 확인됨
282회 인용
Reinforcement Learning Machine Learning Bandit Theory
marco rando

marco rando

Post-doc in Computer Science, University of Genoa
edu.unige.it의 이메일 확인됨
77회 인용
Zeroth order optimization Bayesian Optimization Convex Optimization Bandit Theory Reinforcement
Nam Phuong Tran

Nam Phuong Tran

PhD student, University of Warwick
warwick.ac.uk의 이메일 확인됨
47회 인용
bandit theory reinforcement learning game theory
Yunian Pan

Yunian Pan

New York University
nyu.edu의 이메일 확인됨
32회 인용
reinforcement learning theory game theory bandit theory transportation control
1 - 10