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Brahma S Pavse
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Ridm: Reinforced inverse dynamics modeling for learning from a single observed demonstration
BS Pavse, F Torabi, JP Hanna, G Warnell, P Stone
IEEE Robotics and Automation Letters, presented at International Conference …, 2019
302019
Reducing Sampling Error in Batch Temporal Difference Learning
BS Pavse, I Durugkar, JP Hanna, P Stone
International Conference on Machine Learning (ICML), 2020
142020
UT Austin Villa: RoboCup 2018 3D simulation league champions
P MacAlpine, F Torabi, B Pavse, J Sigmon, P Stone
RoboCup 2018: Robot World Cup XXII 22, 462-475, 2019
92019
UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions
P MacAlpine, F Torabi, B Pavse, P Stone
72019
State-Action Similarity-Based Representations for Off-Policy Evaluation
B Pavse, J Hanna
Advances in Neural Information Processing Systems 36, 2024
12024
Scaling marginalized importance sampling to high-dimensional state-spaces via state abstraction
BS Pavse, JP Hanna
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9417-9425, 2023
12023
Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning
BS Pavse, Y Chen, Q Xie, JP Hanna
arXiv preprint arXiv:2306.01896, 2023
12023
Revisiting Familiar Places in an Infinite World: Continuing RL in Unbounded State Spaces
BS Pavse, Y Chen, Q Xie, JP Hanna
2023
On Sampling Error in Batch Action-Value Prediction Algorithms
BS Pavse, JP Hanna, I Durugkar, P Stone
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