Josiah Hanna - RankMe

27 papers A* 8A 1C 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian Optimization. CoRR Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong
2025	J	`jnl`	Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning. CoRR Kyle Domico, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Eric Pauley, Josiah Hanna, Patrick D. McDaniel
2024	A*	`conf`	Adaptive Exploration for Data-Efficient General Value Function Evaluations. NeurIPS Arushi Jain, Josiah Hanna, Doina Precup
2024	J	`jnl`	Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments. CoRR Jeongyeol Kwon, Liu Yang, Robert D. Nowak, Josiah Hanna
2023	A*	`conf`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	J	`jnl`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	A*	`conf`	State-Action Similarity-Based Representations for Off-Policy Evaluation. NeurIPS Brahma S. Pavse, Josiah Hanna
2022	J	`jnl`	Multi-agent Databases via Independent Learning. CoRR Chi Zhang, Olga Papaemmanouil, Josiah Hanna
2022	A*	`conf`	Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning. NeurIPS Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano V. Albrecht, Josiah Hanna
2022	J	`jnl`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2021	J	`jnl`	Decoupling Exploration and Exploitation in Reinforcement Learning. CoRR Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht
2020	J	`jnl`	An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	A*	`conf`	An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. NeurIPS Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	J	`jnl`	RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. IEEE Robotics Autom. Lett. Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, Peter Stone
2020	A*	`conf`	Reducing Sampling Error in Batch Temporal Difference Learning. ICML Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2020	J	`jnl`	Reducing Sampling Error in Batch Temporal Difference Learning. CoRR Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2019	A*	`conf`	Importance Sampling Policy Evaluation with an Estimated Behavior Policy. ICML Josiah Hanna, Scott Niekum, Peter Stone
2019	J	`jnl`	Learning an Interpretable Traffic Signal Control Policy. CoRR James Ault, Josiah Hanna, Guni Sharon
2018	J	`jnl`	Importance Sampling Policy Evaluation with an Estimated Behavior Policy. CoRR Josiah Hanna, Scott Niekum, Peter Stone
2017	C	`conf`	Fast and Precise Black and White Ball Detection for RoboCup Soccer. RoboCup Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
2016	—	`conf`	Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput. ATT@IJCAI Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, Stephen D. Boyles
2016	J	`jnl`	UT Austin Villa: Project-Driven Research in AI and Robotics. IEEE Intell. Syst. Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
2015	C	`conf`	UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions. RoboCup Patrick MacAlpine, Josiah Hanna, Jason Liang, Peter Stone
2013	—	`conf`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. AAAI (Late-Breaking Developments) Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna
2013	A	`conf`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. UAI Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna
2013	J	`jnl`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. CoRR Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna