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A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone.

, , , , , and . CoRR, (2021)

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Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?, , , , , , , , , and 2 other author(s). CoRR, (2023)Bag of Tricks for In-Distribution Calibration of Pretrained Transformers., , , and . EACL (Findings), page 551. Association for Computational Linguistics, (2023)Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards., , , and . NeurIPS, (2020)Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots., , , , , , , and . Robotics: Science and Systems, (2020)AutoCLINT: The Winning Method in AutoCV Challenge 2019., , , and . CoRR, (2020)Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling., , , and . ICRA, page 6915-6922. IEEE, (2018)Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images., , , , , , , and . WACV, page 7599-7608. IEEE, (2024)Minimax Optimal Bandits for Heavy Tail Rewards., and . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 5280-5294 (April 2024)Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling., , , and . CoRR, (2017)Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning., , , , and . CoRR, (2019)