Discrete time position feedback based steering control for autonomous homing of a mobile robot. - Vikranth Reddy Dwaracherla; Shantanu Thakar; G. K. Arun Kumar; Leena Vachhani (ICCA, 2016)

Probabilistic Approach for Visual Homing of a Mobile Robot in the Presence of Dynamic Obstacles. - Anupa Sabnis; Arunkumar G. K.; Vikranth Reddy Dwaracherla; Leena Vachhani (IEEE Trans. Ind. Electron., 2016)

Gradient Estimation with Simultaneous Perturbation and Compressive Sensing. - Vivek S. Borkar; Vikranth Reddy Dwaracherla; Neeraja Sahasrabudhe (J. Mach. Learn. Res., 2017)

Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow. - Lin Shao 002; Parth Shah 003; Vikranth Dwaracherla; Jeannette Bohg (IEEE Robotics Autom. Lett., 2018)

Hypermodels for Exploration. - Vikranth Dwaracherla; Xiuyuan Lu; Morteza Ibrahimi; Ian Osband; Zheng Wen 002; Benjamin Van Roy (ICLR, 2020)

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Botao Hao; Morteza Ibrahimi; Dieterich Lawson; Xiuyuan Lu; Brendan O'Donoghue; Benjamin Van Roy (CoRR, 2021)

The Neural Testbed: Evaluating Joint Predictions. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Xiuyuan Lu; Morteza Ibrahimi; Dieterich Lawson; Botao Hao; Brendan O'Donoghue; Benjamin Van Roy (NeurIPS, 2022)

Evaluating high-order predictive distributions in deep learning. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Xiuyuan Lu; Benjamin Van Roy (UAI, 2022)

Robustness of Epinets against Distributional Shifts. - Xiuyuan Lu; Ian Osband; Seyed Mohammad Asghari; Sven Gowal; Vikranth Dwaracherla; Zheng Wen 002; Benjamin Van Roy (CoRR, 2022)

Epistemic Neural Networks. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Morteza Ibrahimi; Xiuyuan Lu; Benjamin Van Roy (NeurIPS, 2023)

Approximate Thompson Sampling via Epistemic Neural Networks. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Morteza Ibrahimi; Xiuyuan Lu; Benjamin Van Roy (UAI, 2023)

Reinforcement Learning, Bit by Bit. - Xiuyuan Lu; Benjamin Van Roy; Vikranth Dwaracherla; Morteza Ibrahimi; Ian Osband; Zheng Wen 002 (Found. Trends Mach. Learn., 2023)

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. - Vikranth Dwaracherla; Zheng Wen 002; Ian Osband; Xiuyuan Lu; Seyed Mohammad Asghari; Benjamin Van Roy (Trans. Mach. Learn. Res., 2023)

Langevin DQN. - Vikranth Dwaracherla; Benjamin Van Roy (CDC, 2024)

Efficient Exploration for LLMs. - Vikranth Dwaracherla; Seyed Mohammad Asghari; Botao Hao; Benjamin Van Roy (ICML, 2024)