Josiah Hanna
Ph.D. Student
My current research is investigating dynamic micro-tolling in traffic networks. Assuming that travelers desire to minimize travel time and tolls paid, adjusting tolls can improve the efficiency of the system as traffic patterns change over a day. I am part of UT Austin Villa - UT's robot soccer team. I participate in both the standard platform (SPL) and 3D simulation league. In SPL I work on the walk engine for the NAO and in 3D sim I work on robotic skill learning.
Homepage:
http://www.cs.utexas.edu/~jphanna/
Publications
     [Expand to show all 21][Minimize]
Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy 2021
Josiah P. Hanna, Scott Niekum, and Peter Stone, Machine Learning (MLJ), Vol. 110, 6 (2021), pp. 1267–1317.
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch 2020
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone, In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 2020.
On Sampling Error in Batch Action-Value Prediction Algorithms 2020
Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone, In In the Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), December 2020., Remote (Virtual Conference), December 2020.
Reducing Sampling Error in Batch Temporal Difference Learning 2020
Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone, In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria (Virtual Conference), July 2020.
Reinforced Grounded Action Transformation for Sim-to-Real Transfer 2020
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 2020.
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration 2020
Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone, IEEE Robotics and Automation Letters, presented at International Conference on Intelligent Robots and Systems (IROS) (2020).
Stochastic Grounded Action Transformation for Robot Learning in Simulation 2020
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), Las Vegas, NV, USA, October 2020.
Importance Sampling Policy Evaluation with an Estimated Behavior Policy 2019
Josiah Hanna, Scott Niekum, and Peter Stone, In Proceedings of the 36th International Conference on Machine Learning (ICML), Long Beach, California, U.S.A., June 2019.
Reducing Sampling Error in Policy Gradient Learning 2019
Josiah Hanna and Peter Stone, In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, Canada, May 2019.
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration 2019
Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone, No other information
Selecting Compliant Agents for Opt-in Micro-Tolling 2019
Josiah Hanna, Guni Sharon, Stephen Boyles, and Peter Stone, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, January 2019.
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation 2018
Haipeng Chen, Bo An, Guni Sharon, Josiah Hanna, Peter Stone, Chunyan Miao, and Yeng Chai Soh, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018.
Towards a Data Efficient Off-Policy Policy Gradient 2018
Josiah Hanna and Peter Stone, In AAAI Spring Symposium on Data Efficient Reinforcement Learning, Palo Alto, CA, March 2018.
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation 2017
Josiah Hanna, Peter Stone, and Scott Niekum, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Sao Paolo, Brazil, May 2017.
Data-Efficient Policy Evaluation Through Behavior Policy Search 2017
Josiah Hanna, Philip Thomas, Peter Stone, and Scott Niekum, In Proceedings of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, August 2017.
Fast and Precise Black and White Ball Detection for RoboCup Soccer 2017
Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, and Peter Stone, In {R}obo{C}up-2017: Robot Soccer World Cup {XXI}, 2017 (Eds.), Nagoya, Japan, July 2017.
Grounded Action Transformation for Robot Learning in Simulation 2017
Josiah Hanna and Peter Stone, In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, February 2017.
Network-wide adaptive tolling for connected and automated vehicles 2017
Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone, Transportation Research Part C, Vol. 84 (2017), pp. 142--157.
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks 2017
Guni Sharon, Josiah P. Hanna, Tarun Rambha, Michael W. Levin, Michael Albert, Stephen D. Boyles, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2017), Sao Paulo, Brazil, May 2017.
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput 2016
Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, and Stephen D. Boyles, In Proceedings of the 9th International Workshop on Agents in Traffic and Transportation (ATT 2016), New York, NY, USA, July 2016.
Minimum Cost Matching for Autonomous Carsharing 2016
Josiah P. Hanna, Michael Albert, Donna Chen, and Peter Stone, In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), Leipzig, Germany, June 2016.
Areas of Interest
Autonomous Traffic Management
Labs
Currently affiliated with Learning Agents