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Rahul Meshram — most-cited papers & profile · Reinforcement Learning
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Rahul Meshram
6
papers ·
23
citations
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Most-cited papers
Simulation Based Algorithms for Markov Decision Processes and Multi-Action Restless Bandits
2020 · 4 citations
Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy
2023 · 1 citations
Lagrangian Relaxation for Multi-Action Partially Observable Restless Bandits: Heuristic Policies and Indexability
2025
Indexability and Rollout Policy for Multi-State Partially Observable Restless Bandits
2021
Top co-authors
Kesav Kaza
· 3
Deepak Dev
· 1
Surya Prakash
· 1
Vishesh Mittal
· 1
Topics
Multi-Agent
Model-Based RL
Value-Based
Exploration
Policy Gradient