Adithya M. Devraj

According to our database, Adithya M. Devraj authored at least 24 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Q-Learning With Uniformly Bounded Variance.

Adithya M. Devraj, Sean P. Meyn

IEEE Trans. Autom. Control., 2022

Gaussian Imagination in Bandit Learning.

Yueyang Liu, Adithya M. Devraj, Benjamin Van Roy, Kuang Xu

CoRR, 2022

2021

Differential Temporal Difference Learning.

Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn

IEEE Trans. Autom. Control., 2021

Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation.

Shuhang Chen, Adithya M. Devraj, Andrey Berstein, Sean P. Meyn

J. Syst. Sci. Complex., 2021

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning.

Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn

CoRR, 2021

A Bit Better? Quantifying Information for Bandit Learning.

Adithya M. Devraj, Benjamin Van Roy, Kuang Xu

CoRR, 2021

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation.

Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn

Proceedings of the 2021 American Control Conference, 2021

2020

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning.

Adithya M. Devraj, Sean P. Meyn

CoRR, 2020

Zap Q-Learning With Nonlinear Function Approximation.

Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning for Control of Building HVAC Systems.

Naren Srivaths Raman, Adithya M. Devraj, Prabir Barooah, Sean P. Meyn

Proceedings of the 2020 American Control Conference, 2020

Zap Q-Learning for Optimal Stopping.

Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn

Proceedings of the 2020 American Control Conference, 2020

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow.

Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn

Proceedings of the 2020 American Control Conference, 2020

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation.

Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Zap Q-Learning With Nonlinear Function Approximation.

Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn

CoRR, 2019

Zap~Q-Learning for Optimal Stopping Time Problems.

Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn

CoRR, 2019

Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization.

Adithya M. Devraj, Jianshu Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Matrix Momentum Stochastic Approximation and Applications to Q-learning.

Adithya M. Devraj, Ana Busic, Sean P. Meyn

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate.

Adithya M. Devraj, Ana Busic, Sean P. Meyn

CoRR, 2018

2017

Fastest Convergence for Q-learning.

Adithya M. Devraj, Sean P. Meyn

CoRR, 2017

Zap Q-Learning.

Adithya M. Devraj, Sean P. Meyn

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Learning techniques for feedback particle filter design.

Anand Radhakrishnan, Adithya M. Devraj, Sean P. Meyn

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Differential TD learning for value function approximation.

Adithya M. Devraj, Sean P. Meyn

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Array processing with known waveform and steering vector but unknown diagonal noise covariance matrix.

Adithya M. Devraj, Chris Gianelli, Jian Li

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Power allocation in energy harvesting sensors with ARQ: A convex optimization approach.

Adithya M. Devraj, Mohit K. Sharma, Chandra R. Murthy

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014