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07/06/2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Risk-sensitive reinforcement learning (RL) aims to optimize policies tha...
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02/13/2023
Provably Safe Reinforcement Learning with Step-wise Violation Constraints
In this paper, we investigate a novel safe reinforcement learning proble...
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02/09/2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Despite the recent success of representation learning in sequential deci...
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11/16/2022
Dueling Bandits: From Two-dueling to Multi-dueling
We study a general multi-dueling bandit problem, where an agent compares...
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06/06/2022
Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path
In this paper, we study a novel episodic risk-sensitive Reinforcement Le...
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02/16/2022
Branching Reinforcement Learning
In this paper, we propose a novel Branching Reinforcement Learning (Bran...
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10/29/2021
Collaborative Pure Exploration in Kernel Bandit
In this paper, we formulate a Collaborative Pure Exploration in Kernel B...
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02/24/2021
Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions
In this paper, we study the Combinatorial Pure Exploration problem with ...
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02/24/2021
Continuous Mean-Covariance Bandits
Existing risk-aware multi-armed bandit models typically focus on risk me...
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12/14/2020
A One-Size-Fits-All Solution to Conservative Bandit Problems
In this paper, we study a family of conservative bandit problems (CBPs) ...
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06/23/2020
Combinatorial Pure Exploration of Dueling Bandit
In this paper, we study combinatorial pure exploration for dueling bandi...
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06/14/2020
Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback
In this paper, we propose the novel model of combinatorial pure explorat...
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02/07/2020
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
In recent years, deep learning based visual tracking methods have obtain...
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03/18/2019
