Baohe Zhang - RankMe

13 papers A* 1A 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal Achievement Guided Exploitation: A Principled Performance-Based Scheduling Framework for Reinforcement Learning. Trans. Mach. Learn. Res. Shengchao Yan, Baohe Zhang, Chenguang Huang, Joschka Boedecker, Wolfram Burgard
2025	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. Trans. Mach. Learn. Res. Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker
2025	J	`jnl`	Fitting Reinforcement Learning Model to Behavioral Data under Bandits. CoRR Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker
2024	J	`jnl`	Constrained Reinforcement Learning for Safe Heat Pump Control. CoRR Baohe Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. CoRR Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	A*	`conf`	Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. ICRA Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
2024	J	`jnl`	Revisiting Safe Exploration in Safe Reinforcement learning. CoRR David Eckel, Baohe Zhang, Joschka Bödecker
2023	J	`jnl`	Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. CoRR Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
2021	A	`conf`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	J	`jnl`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2020	J	`jnl`	Ultra-Broadband Polarization Conversion Meta-Surface and its Application in Polarization Converter and RCS Reduction. IEEE Access Yunping Qi, Baohe Zhang, Chuqin Liu, Xiangyu Deng