Risk-sensitive reinforcement learning (RL) aims to optimize policies tha...
In this paper, we investigate a novel safe reinforcement learning proble...
Despite the recent success of representation learning in sequential deci...
We study a general multi-dueling bandit problem, where an agent compares...
In this paper, we study a novel episodic risk-sensitive Reinforcement
Le...
In this paper, we propose a novel Branching Reinforcement Learning (Bran...
In this paper, we formulate a Collaborative Pure Exploration in Kernel B...
In this paper, we study the Combinatorial Pure Exploration problem with ...
Existing risk-aware multi-armed bandit models typically focus on risk
me...
In this paper, we study a family of conservative bandit problems (CBPs) ...
In this paper, we study combinatorial pure exploration for dueling bandi...
In this paper, we propose the novel model of combinatorial pure explorat...
In recent years, deep learning based visual tracking methods have obtain...
Visual object recognition under situations in which the direct line-of-s...