Srijita Das

Affiliations:
  • University of Michigan-Dearborn, Dearborn, MI, USA


According to our database1, Srijita Das authored at least 25 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Human-AI collaboration in real-world complex environment with reinforcement learning.
Neural Comput. Appl., August, 2025

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks.
CoRR, July, 2025

FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets.
CoRR, June, 2025

Optimal Parameter Design for Power Electronic Converters Using a Probabilistic Learning-Based Stochastic Surrogate Model.
CoRR, June, 2025

A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs.
CoRR, April, 2025

Do as you teach: a multi-teacher approach to self-play in deep reinforcement learning.
Neural Comput. Appl., March, 2025

A critical review of safe reinforcement learning strategies in power and energy systems.
Eng. Appl. Artif. Intell., 2025

Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Learning Pose-aware Representations in Vision Transformers for Understanding Activities of Daily Living.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

An LLM-Guided Tutoring System for Social Skills Training.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.
J. Artif. Intell. Res., 2024

A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications.
CoRR, 2024

CANDERE-COACH: Reinforcement Learning from Noisy Feedback.
CoRR, 2024

GLIDE-RL: Grounded Language Instruction through DEmonstration in RL.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Active feature elicitation: An unified framework.
Frontiers Artif. Intell., February, 2023

Two-Level Actor-Critic Using Multiple Teachers.
Trans. Mach. Learn. Res., 2023

Augmenting Flight Training with AI to Efficiently Train Pilots.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Methodical Advice Collection and Reuse in Deep Reinforcement Learning.
CoRR, 2022

2021
A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Fitted Q-Learning for Relational Domains.
CoRR, 2020

Cost Aware Feature Elicitation.
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020

2018
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Viewing the Viewers: Publishers' Desires and Viewers' Privacy Concerns in Social Networks.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Was my message read?: Privacy and Signaling on Facebook Messenger.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility.
Proceedings of the Tenth International Conference on Web and Social Media, 2016


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