Search Results for author:
Found 3 papers, 0 papers with code
Combinatorial Neural Bandits
Approximating this unknown score function with deep neural networks, we propose algorithms: Combinatorial Neural UCB ($\texttt{CN-UCB}$) and Combinatorial Neural Thompson Sampling ($\texttt{CN-TS}$).
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
In this paper, we establish a provably efficient RL algorithm for the MDP whose state transition is given by a multinomial logistic model.
Model-based Reinforcement Learning
reinforcement-learning
+1
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems
Multiclass problems are often decomposed into multiple binary problems that are solved by individual binary classifiers whose results are integrated into a final answer.
