Josiah P. Hanna

69 papers A* 16A 11C 1Misc 1Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Articulated-Body Dynamics Network: Dynamics-Grounded Prior for Robot Learning. CoRR Sangwoo Shin, Kunzhao Ren, Xiaobin Xiong, Josiah P. Hanna
2026	J	`jnl`	On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling. Trans. Mach. Learn. Res. Nicholas E. Corrado, Josiah P. Hanna
2025	J	`jnl`	Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies. CoRR Nicholas E. Corrado, Josiah P. Hanna
2025	A*	`conf`	Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation. ICML Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi
2025	J	`jnl`	Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation. CoRR Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi
2025	A*	`conf`	Multi-Robot Collaboration Through Reinforcement Learning and Abstract Simulation. ICRA Adam Labiosa, Josiah P. Hanna
2025	J	`jnl`	Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation. CoRR Adam Labiosa, Josiah P. Hanna
2025	A*	`conf`	Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. ICRA Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2025	C	`ed.`	RoboCup 2024: Robot World Cup XXVII RoboCup Edna Barros, Josiah P. Hanna, Hiroyuki Okada, Elena Torta
2025	A*	`conf`	Stable Offline Value Function Learning with Bisimulation-based Representations. ICML Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2025	J	`jnl`	When Can Model-Free Reinforcement Learning be Enough for Thinking? CoRR Josiah P. Hanna, Nicholas E. Corrado
2024	J	`jnl`	Adaptive Exploration for Data-Efficient General Value Function Evaluations. CoRR Arushi Jain, Josiah P. Hanna, Doina Precup
2024	J	`jnl`	Conservative Evaluation of Offline Policy Learning. Trans. Mach. Learn. Res. Hager Radi Abdelwahed, Josiah P. Hanna, Matthew E. Taylor
2024	J	`jnl`	Data-Efficient Policy Evaluation Through Behavior Policy Search. J. Mach. Learn. Res. Josiah P. Hanna, Yash Chandak, Philip S. Thomas, Martha White, Peter Stone, Scott Niekum
2024	J	`jnl`	Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning. RLJ Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna
2024	A*	`conf`	Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. ICML Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	J	`jnl`	Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak
2024	J	`jnl`	Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. CoRR Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2024	—	`conf`	Reinforcement Learning via Auxiliary Task Distillation. ECCV (81) Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	J	`jnl`	Reinforcement Learning via Auxiliary Task Distillation. CoRR Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	A	`conf`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2024	A*	`conf`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. ICML Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2024	J	`jnl`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2024	A*	`conf`	Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction. AAAI Josiah P. Hanna
2024	J	`jnl`	Stable Offline Value Function Learning with Bisimulation-based Representations. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	J	`jnl`	Toward the confident deployment of real-world reinforcement learning agents. AI Mag. Josiah P. Hanna
2024	A*	`conf`	Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates. ICLR Nicholas Corrado, Josiah P. Hanna
2023	J	`jnl`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	J	`jnl`	Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning. CoRR Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2023	J	`jnl`	On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling. CoRR Nicholas E. Corrado, Josiah P. Hanna
2023	A*	`conf`	Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. AAAI Brahma S. Pavse, Josiah P. Hanna
2023	J	`jnl`	State-Action Similarity-Based Representations for Off-Policy Evaluation. CoRR Brahma S. Pavse, Josiah P. Hanna
2023	J	`jnl`	Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2023	A*	`conf`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	J	`jnl`	Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates. CoRR Nicholas E. Corrado, Josiah P. Hanna
2022	J	`jnl`	A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret. CoRR Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon, Josiah P. Hanna
2022	A	`conf`	Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. AAMAS Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht
2022	J	`jnl`	ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	A	`conf`	ReVar: Strengthening policy evaluation via reduced variance sampling. UAI Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	J	`jnl`	Safe Evaluation For Offline Learning: Are We Ready To Deploy? CoRR Hager Radi, Josiah P. Hanna, Peter Stone, Matthew E. Taylor
2022	J	`jnl`	Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. CoRR Brahma S. Pavse, Josiah P. Hanna
2022	—	`conf`	Simulation-Acquired Latent Action Spaces for Dynamics Generalization. CoLLAs Nicholas Corrado, Yuxiao Qu, Josiah P. Hanna
2021	A	`conf`	A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret. IROS Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon, Josiah P. Hanna
2021	J	`jnl`	Grounded action transformation for sim-to-real reinforcement learning. Mach. Learn. Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, Peter Stone
2021	J	`jnl`	Importance sampling in reinforcement learning with an estimated behavior policy. Mach. Learn. Josiah P. Hanna, Scott Niekum, Peter Stone
2021	A	`conf`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	J	`jnl`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	J	`jnl`	Robust On-Policy Data Collection for Data-Efficient Policy Evaluation. CoRR Rujie Zhong, Josiah P. Hanna, Lukas Schäfer, Stefano V. Albrecht
2021	Misc	`conf`	Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction. PAAMS Ibrahim Ahmed, Josiah P. Hanna, Elliot Fosong, Stefano V. Albrecht
2020	A	`conf`	Learning an Interpretable Traffic Signal Control Policy. AAMAS James Ault, Josiah P. Hanna, Guni Sharon
2020	J	`jnl`	Quantum-Secure Authentication via Abstract Multi-Agent Interaction. CoRR Ibrahim Ahmed, Josiah P. Hanna, Stefano V. Albrecht
2020	A	`conf`	Reinforced Grounded Action Transformation for Sim-to-Real Transfer. IROS Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	J	`jnl`	Reinforced Grounded Action Transformation for Sim-to-Real Transfer. CoRR Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	A	`conf`	Stochastic Grounded Action Transformation for Robot Learning in Simulation. IROS Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	J	`jnl`	Stochastic Grounded Action Transformation for Robot Learning in Simulation. CoRR Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2019	J	`jnl`	RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. CoRR Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone
2019	A	`conf`	Reducing Sampling Error in Policy Gradient Learning. AAMAS Josiah P. Hanna, Peter Stone
2019	A*	`conf`	Selecting Compliant Agents for Opt-in Micro-Tolling. AAAI Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone
2018	A*	`conf`	DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. AAAI Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh
2018	—	`conf`	Towards a Data Efficient Off-Policy Policy Gradient. AAAI Spring Symposia Josiah P. Hanna, Peter Stone
2017	A*	`conf`	Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. AAAI Josiah P. Hanna, Peter Stone, Scott Niekum
2017	A	`conf`	Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. AAMAS Josiah P. Hanna, Peter Stone, Scott Niekum
2017	A	`conf`	Bridging the Gap Between Simulation and Reality. AAMAS Josiah P. Hanna
2017	A*	`conf`	Data-Efficient Policy Evaluation Through Behavior Policy Search. ICML Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum
2017	J	`jnl`	Data-Efficient Policy Evaluation Through Behavior Policy Search. CoRR Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum
2017	A*	`conf`	Grounded Action Transformation for Robot Learning in Simulation. AAAI Josiah P. Hanna, Peter Stone
2017	A*	`conf`	Grounded Action Transformation for Robot Learning in Simulation. AAAI Josiah P. Hanna, Peter Stone
2016	J	`jnl`	High Confidence Off-Policy Evaluation with Models. CoRR Josiah P. Hanna, Peter Stone, Scott Niekum