Raghuram Bharadwaj Diddigi

Orcid: 0000-0003-0233-0698

According to our database1, Raghuram Bharadwaj Diddigi authored at least 25 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Bandit-based Attention Mechanism in Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

RAG-inspired Intent-Based Solution for Intelligent Autonomous Networks.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024
Variance-Reduced Deep Actor-Critic With an Optimally Subsampled Actor Recursion.
IEEE Trans. Artif. Intell., July, 2024

Image Generation from Image Captioning - Invertible Approach.
CoRR, 2024

Towards LLM-driven Automated Verification of Best Practices in Digital Public Infrastructures.
Proceedings of the SICSA Workshop on Reasoning, 2024

Dynamic Energy Management in Competing Microgrids using Reinforcement Learning.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

Remember Your Best: Improving Exploitation in Deep Q-Network.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2023
Autonomous UAV Navigation in Complex Environments using Human Feedback.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Efficient Off-Policy Algorithms for Structured Markov Decision Processes.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Generalized Second-Order Value Iteration in Markov Decision Processes.
IEEE Trans. Autom. Control., 2022

A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games.
IEEE Trans. Autom. Control., 2022

Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Successive Over-Relaxation ${Q}$ -Learning.
IEEE Control. Syst. Lett., 2020

A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks.
CoRR, 2020

Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

A Convergent Off-Policy Temporal Difference Algorithm.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
An Online Sample-Based Method for Mode Estimation Using ODE Analysis of Stochastic Approximation Algorithms.
IEEE Control. Syst. Lett., 2019

Solution of Two-Player Zero-Sum Game by Successive Relaxation.
CoRR, 2019

Second Order Value Iteration in Reinforcement Learning.
CoRR, 2019

Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks.
IEEE Wirel. Commun. Lett., 2018

A unified decision making framework for supply and demand management in microgrid networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
A unified decision making framework for supply and demand management in microgrid networks.
CoRR, 2017

Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids.
CoRR, 2017


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