Shalabh Bhatnagar

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 139

Top Venues

CoRR

IEEE Trans. Autom. Control.

CDC

IJCNN

Publications

Lakshmi Mandal, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Variance-Reduced Deep Actor-Critic With an Optimally Subsampled Actor Recursion. IEEE Trans. Artif. Intell. 5 (7) (2024)
Akash Mondal, Prashanth L. A., Shalabh Bhatnagar
Truncated Cauchy random perturbations for smoothed functional-based stochastic optimization. Autom. 162 (2024)
Arghyadeep Barat, Prabuchandran K. J., Shalabh Bhatnagar
Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network. IEEE Commun. Lett. 28 (1) (2024)
Prashansa Panda, Shalabh Bhatnagar
Critic-Actor for Average Reward MDPs with Function Approximation: A Finite-Time Analysis. CoRR (2024)
Mizhaan Prajit Maniyar, Prashanth L. A., Akash Mondal, Shalabh Bhatnagar
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. AISTATS (2024)
V. P. Vivek, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Dynamic Energy Management in Competing Microgrids using Reinforcement Learning. ISGT (2024)
Lakshmi Mandal, Shalabh Bhatnagar
n-Step Temporal Difference Learning with Optimal n. CoRR (2023)
Arunselvan Ramaswamy, Shalabh Bhatnagar, Naman Saxena
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks. CoRR (2023)
Lakshmi Mandal, Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
Approximate Linear Programming and Decentralized Policy Improvement in Cooperative Multi-agent Markov Decision Processes. CoRR (2023)
Arghyadeep Barat, Prabuchandran K. J., Shalabh Bhatnagar
Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network. CoRR (2023)
Prashansa Panda, Shalabh Bhatnagar
Finite Time Analysis of Constrained Actor Critic and Constrained Natural Actor Critic Algorithms. CoRR (2023)
Shalabh Bhatnagar, Prashanth L. A.
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. CISS (2023)
Shalabh Bhatnagar
The Reinforce Policy Gradient Algorithm Revisited. CoRR (2023)
Mizhaan Prajit Maniyar, Akash Mondal, Prashanth L. A., Shalabh Bhatnagar
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. CoRR (2023)
Shalabh Bhatnagar, Vivek S. Borkar, Soumyajit Guin
Actor-Critic or Critic-Actor? A Tale of Two Time Scales. IEEE Control. Syst. Lett. 7 (2023)
Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search. ICML (2023)
Naman Saxena, Subhojyoti Khastigir, Shishir Kolathaya, Shalabh Bhatnagar
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search. CoRR (2023)
Soumyajit Guin, Shalabh Bhatnagar
A Policy Gradient Approach for Finite Horizon Constrained Markov Decision Processes. CDC (2023)
Sambhu H. Karumanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
Autonomous UAV Navigation in Complex Environments using Human Feedback. RO-MAN (2023)
Ashish Kumar Jayant, Shalabh Bhatnagar
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm. NeurIPS (2022)
Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar
Reinforcement Learning for Task Specifications with Action-Constraints. CoRR (2022)
Akash Mondal, Prashanth L. A., Shalabh Bhatnagar
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization. CoRR (2022)
Priya Shanmugasundaram, Shalabh Bhatnagar
Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks. ICAART (Revised Selected Paper (2022)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Analyzing Approximate Value Iteration Algorithms. Math. Oper. Res. 47 (3) (2022)
Ashish Kumar Jayant, Shalabh Bhatnagar
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm. CoRR (2022)
Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel, Chandravaran Kunjeti, Himanshu Lodha, Aman Singh, Aditya Sagi, Shalabh Bhatnagar, Shishir Kolathaya
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning. ICRA (2022)
Rohan Deb, Shalabh Bhatnagar
Gradient Temporal Difference with Momentum: Stability and Convergence. AAAI (2022)
Shalabh Bhatnagar, Prashanth L. A.
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. CoRR (2022)
Rohan Deb, Meet Gandhi, Shalabh Bhatnagar
Schedule Based Temporal Difference Algorithms. Allerton (2022)
Priya Shanmugasundaram, Shalabh Bhatnagar
Robust Traffic Signal Timing Control using Multiagent Twin Delayed Deep Deterministic Policy Gradients. ICAART (2) (2022)
Soumyajit Guin, Shalabh Bhatnagar
A policy gradient approach for Finite Horizon Constrained Markov Decision Processes. CoRR (2022)
Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar
A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games. IEEE Trans. Autom. Control. 67 (9) (2022)
Shalabh Bhatnagar, Vivek S. Borkar, Soumyajit Guin
Actor-Critic or Critic-Actor? A Tale of Two Time Scales. CoRR (2022)
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Generalized Second-Order Value Iteration in Markov Decision Processes. IEEE Trans. Autom. Control. 67 (8) (2022)
Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. IJCNN (2022)
Sindhu Padakandla, Prabuchandran K. J., Sourav Ganguly, Shalabh Bhatnagar
Data Efficient Safe Reinforcement Learning. SMC (2022)
P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar
Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. AAMAS (2021)
Rohan Deb, Shalabh Bhatnagar
N-Timescale Stochastic Approximation: Stability and Convergence. CoRR (2021)
Rohan Deb, Shalabh Bhatnagar
Gradient Temporal Difference with Momentum: Stability and Convergence. CoRR (2021)
Vivek VP, Shalabh Bhatnagar
Finite Horizon Q-learning: Stability, Convergence and Simulations. CoRR (2021)
Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. CoRR (2021)
Prabuchandran K. J., Santosh Penubothula, Chandramouli Kamanchi, Shalabh Bhatnagar
Novel First Order Bayesian Optimization with an Application to Reinforcement Learning. Appl. Intell. 51 (3) (2021)
Rohan Deb, Meet Gandhi, Shalabh Bhatnagar
Schedule Based Temporal Difference Algorithms. CoRR (2021)
Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning. IEEE Trans. Autom. Control. 66 (9) (2021)
Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel, Chandravaran Kunjeti, Himanshu Lodha, Aman Singh, Aditya Sagi, Shalabh Bhatnagar, Shishir Kolathaya
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning. CoRR (2021)
P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. CoRR (2021)
Prasenjit Karmakar, Shalabh Bhatnagar
On tight bounds for function approximation error in risk-sensitive reinforcement learning. Syst. Control. Lett. 150 (2021)
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge. IEEE Trans. Intell. Transp. Syst. 22 (1) (2021)
Prasenjit Karmakar, Shalabh Bhatnagar
Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured. IEEE Trans. Autom. Control. 66 (12) (2021)
Vinayaka G. Yaji, Shalabh Bhatnagar
Stochastic Recursive Inclusions in Two Timescales with Nonadditive Iterate-Dependent Markov Noise. Math. Oper. Res. 45 (4) (2020)
Sashank Tirumala, Sagar Venkatesh Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations. CoRR (2020)
Sashank Tirumala, Sagar Venkatesh Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations. RO-MAN (2020)
Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks. CoRR (2020)
Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar
A Convergent Off-Policy Temporal Difference Algorithm. ECAI (2020)
Dhuruva Priyan G. M, Abhik Singla, Shalabh Bhatnagar
Hindsight Experience Replay with Kronecker Product Approximate Curvature. CoRR (2020)
Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar
Generalized Speedy Q-Learning. IEEE Control. Syst. Lett. 4 (3) (2020)
Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach. CoRR (2020)
Sindhu Padakandla, Shilpa Rao, Shalabh Bhatnagar
Learning-Based Resource Allocation in Industrial IoT Systems. PIMRC (2020)
Indu John, Shalabh Bhatnagar
Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources. IJCNN (2020)
Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar
Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks. ISGT-Europe (2020)
Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar
A reinforcement learning approach to hybrid control design. CoRR (2020)
Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar
Reinforcement learning algorithm for non-stationary environments. Appl. Intell. 50 (11) (2020)
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Successive Over-Relaxation ${Q}$ -Learning. IEEE Control. Syst. Lett. 4 (1) (2020)
Vinayaka G. Yaji, Shalabh Bhatnagar
Analysis of Stochastic Approximation Schemes With Set-Valued Maps in the Absence of a Stability Guarantee and Their Stabilization. IEEE Trans. Autom. Control. 65 (3) (2020)
Prashanth L. A., Shalabh Bhatnagar, Nirav Bhavsar, Michael C. Fu, Steven I. Marcus
Random Directions Stochastic Approximation With Deterministic Perturbations. IEEE Trans. Autom. Control. 65 (6) (2020)
Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). AAAI (2020)
Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Varma, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach. CoRL (2020)
Indu John, Ravikumar Karumanchi, Shalabh Bhatnagar
Predictive and Prescriptive Analytics for Performance Optimization: Framework and a Case Study on a Large-Scale Enterprise System. ICMLA (2019)
Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. AAMAS (2019)
Indu John, Aiswarya Sreekantan, Shalabh Bhatnagar
Efficient Adaptive Resource Provisioning for Cloud Applications using Reinforcement Learning. FAS*W@SASO/ICAC (2019)
Shishir Kolathaya, Ashitava Ghosal, Bharadwaj Amrutur, Ashish Joglekar, Suhan Shetty, Dhaivat Dholakiya, Abhimanyu, Aditya Sagi, Shounak Bhattacharya, Abhik Singla, Shalabh Bhatnagar
Trajectory based Deep Policy Search for Quadrupedal Walking. RO-MAN (2019)
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Successive Over Relaxation Q-Learning. CoRR (2019)
Chandramouli K, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms. CoRR (2019)
Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar
Reinforcement Learning in Non-Stationary Environments. CoRR (2019)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Stability of Stochastic Approximations With "Controlled Markov" Noise and Temporal Difference Learning. IEEE Trans. Autom. Control. 64 (6) (2019)
Sashank Tirumala, Aditya Sagi, Kartik Paigwar, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Gait Library Synthesis for Quadruped Robots via Augmented Random Search. CoRR (2019)
Dhaivat Dholakiya, Shounak Bhattacharya, Ajay Gunalan, Abhik Singla, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya
Design, Development and Experimental Realization of a Quadrupedal Research Platform: Stoch. CoRR (2019)
Ajin George Joseph, Shalabh Bhatnagar
An Adaptive and Incremental Approach to Quantile Estimation. CDC (2019)
Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar
Hierarchical Average Reward Policy Gradient Algorithms. CoRR (2019)
Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. CoRR (2019)
Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar
Solution of Two-Player Zero-Sum Game by Successive Relaxation. CoRR (2019)
Indu John, Shalabh Bhatnagar
Efficient Budget Allocation and Task Assignment in Crowdsourcing. COMAD/CODS (2019)
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
An Online Sample-Based Method for Mode Estimation Using ODE Analysis of Stochastic Approximation Algorithms. IEEE Control. Syst. Lett. 3 (3) (2019)
Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar
Generalized Speedy Q-learning. CoRR (2019)
Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots. RO-MAN (2019)
Ajin George Joseph, Shalabh Bhatnagar
Stochastic Approximation Trackers for Model-Based Search. Allerton (2019)
Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar
A Convergent Off-Policy Temporal Difference Algorithm. CoRR (2019)
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
Second Order Value Iteration in Reinforcement Learning. CoRR (2019)
Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives. ICRA (2019)
Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots. CoRR (2019)
Chandramouli K, Prabuchandran K. J., Sai Koti Reddy Danda, Shalabh Bhatnagar
Generalized Deterministic Perturbations For Stochastic Gradient Search. CDC (2018)
Ajin George Joseph, Shalabh Bhatnagar
An Incremental Off-policy Search in a Model-free Markov Decision Process Using a Single Sample Path. CoRR (2018)
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar, Csaba Szepesvári
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes. IEEE Trans. Autom. Control. 63 (4) (2018)
Shalabh Bhatnagar, Sanjeev Patel, Karmeshu
A stochastic approximation approach to active queue management. Telecommun. Syst. 68 (1) (2018)
Ajin George Joseph, Shalabh Bhatnagar
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method. Mach. Learn. 107 (8-10) (2018)
Prasenjit Karmakar, Shalabh Bhatnagar
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning. Math. Oper. Res. 43 (1) (2018)
Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar
A unified decision making framework for supply and demand management in microgrid networks. SmartGridComm (2018)
Enlu Zhou, Shalabh Bhatnagar
Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space. INFORMS J. Comput. 30 (1) (2018)
Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives. CoRR (2018)
Ajin George Joseph, Shalabh Bhatnagar
An incremental off-policy search in a model-free Markov decision process using a single sample path. Mach. Learn. 107 (6) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shalabh Bhatnagar