1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
CORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies
Santhosh GS, Ananya Ravi, Devika Jay +5
The deployment of Reinforcement Learning (RL) agents in critical domains must be preceded with a pipeline to evaluate the alignment of the RL agent with complex multi-objective spe…
cs.LG2025
Know your Trajectory -- Trustworthy Reinforcement Learning deployment through Importance-Based Trajectory Analysis
Clifford F, Devika Jay, Abhishek Sarkar +4
As Reinforcement Learning (RL) agents are increasingly deployed in real-world applications, ensuring their behavior is transparent and trustworthy is paramount. A key component of…
cs.AI2021★ 1 cited
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1
Jahnvi Patel, Devika Jay, Balaraman Ravindran +1
In real time electricity markets, the objective of generation companies while bidding is to maximize their profit. The strategies for learning optimal bidding have been formulated…