Srijita Das

According to our database, Srijita Das authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.

Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger

J. Artif. Intell. Res., 2024

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

Van-Hai Bui, Srijita Das, Akhtar Hussain, Guilherme Vieira Hollweg, Wencong Su

CoRR, 2024

CANDERE-COACH: Reinforcement Learning from Noisy Feedback.

Yuxuan Li, Srijita Das, Matthew E. Taylor

CoRR, 2024

GLIDE-RL: Grounded Language Instruction through DEmonstration in RL.

Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Active feature elicitation: An unified framework.

Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan

Frontiers Artif. Intell., February, 2023

Two-Level Actor-Critic Using Multiple Teachers.

Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor

Trans. Mach. Learn. Res., 2023

Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning.

Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor

CoRR, 2023

Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning.

Chaitanya Kharyal, Tanmay Kumar Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Augmenting Flight Training with AI to Efficiently Train Pilots.

Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Methodical Advice Collection and Reuse in Deep Reinforcement Learning.

Sahir, Ercüment Ilhan, Srijita Das, Matthew E. Taylor

CoRR, 2022

2021

A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation.

Srijita Das, Rishabh K. Iyer, Sriraam Natarajan

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Fitted Q-Learning for Relational Domains.

Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting

CoRR, 2020

Cost Aware Feature Elicitation.

Srijita Das, Rishabh K. Iyer, Sriraam Natarajan

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.

Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac

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.

Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea

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.

Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea

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.

Shirin Nilizadeh, Anne Groggel, Peter Lista, Srijita Das, Yong-Yeol Ahn, Apu Kapadia, Fabio Rojas

Proceedings of the Tenth International Conference on Web and Social Media, 2016