Adithya M. Devraj

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 28

Top Topics

Convergence Rate

Reinforcement Learning

Optimal Stopping

Top Venues

IEEE Trans. Autom. Control.

Publications

Yueyang Liu, Adithya M. Devraj, Benjamin Van Roy, Kuang Xu
Gaussian Imagination in Bandit Learning. CoRR (2022)
Adithya M. Devraj, Sean P. Meyn
Q-Learning With Uniformly Bounded Variance. IEEE Trans. Autom. Control. 67 (11) (2022)
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
Differential Temporal Difference Learning. IEEE Trans. Autom. Control. 66 (10) (2021)
Shuhang Chen, Adithya M. Devraj, Andrey Berstein, Sean P. Meyn
Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. J. Syst. Sci. Complex. 34 (5) (2021)
Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC (2021)
Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. CoRR (2021)
Adithya M. Devraj, Benjamin Van Roy, Kuang Xu
A Bit Better? Quantifying Information for Bandit Learning. CoRR (2021)
Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR (2020)
Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. ACC (2020)
Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn
Zap Q-Learning With Nonlinear Function Approximation. NeurIPS (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. AISTATS (2020)
Naren Srivaths Raman, Adithya M. Devraj, Prabir Barooah, Sean P. Meyn
Reinforcement Learning for Control of Building HVAC Systems. ACC (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap Q-Learning for Optimal Stopping. ACC (2020)
Adithya M. Devraj, Sean P. Meyn
Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning. CoRR (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. CoRR (2020)
Adithya M. Devraj, Jianshu Chen
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. NeurIPS (2019)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap~Q-Learning for Optimal Stopping Time Problems. CoRR (2019)
Adithya M. Devraj, Jianshu Chen
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. CoRR (2019)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap Q-Learning With Nonlinear Function Approximation. CoRR (2019)
Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. CoRR (2019)
Adithya M. Devraj, Ana Busic, Sean P. Meyn
On Matrix Momentum Stochastic Approximation and Applications to Q-learning. Allerton (2019)
Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate. CoRR (2018)
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
Differential Temporal Difference Learning. CoRR (2018)
Adithya M. Devraj, Sean P. Meyn
Zap Q-Learning. NIPS (2017)
Adithya M. Devraj, Sean P. Meyn
Fastest Convergence for Q-learning. CoRR (2017)
Adithya M. Devraj, Sean P. Meyn
Differential TD learning for value function approximation. CDC (2016)
Anand Radhakrishnan, Adithya M. Devraj, Sean P. Meyn
Learning techniques for feedback particle filter design. CDC (2016)
Adithya M. Devraj, Sean P. Meyn
Differential TD Learning for Value Function Approximation. CoRR (2016)
Adithya M. Devraj, Chris Gianelli, Jian Li
Array processing with known waveform and steering vector but unknown diagonal noise covariance matrix. CAMSAP (2015)
Adithya M. Devraj, Mohit K. Sharma, Chandra R. Murthy
Power allocation in energy harvesting sensors with ARQ: A convex optimization approach. GlobalSIP (2014)