1 citations · 2 across the 5 of their papers we have counts for
5 papers
A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
Jalal Arabneydi, Saiful Islam, Srijita Das +7
With the growing popularity of deep reinforcement learning (DRL), human-in-the-loop (HITL) approach has the potential to revolutionize the way we approach decision-making problems…
An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das +4
Social skills training targets behaviors necessary for success in social interactions. However, traditional classroom training for such skills is often insufficient to teach effect…
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha +2
One of the final frontiers in the development of complex human - AI collaborative systems is the ability of AI agents to comprehend the natural language and perform tasks according…
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning
Rupali Bhati, Sai Krishna Gottipati, Clodéric Mars +1
While there has been significant progress in curriculum learning and continuous learning for training agents to generalize across a wide variety of environments in the context of s…
Human-Machine Teaming for UAVs: An Experimentation Platform
Laila El Moujtahid, Sai Krishna Gottipati, Clodéric Mars +1
Full automation is often not achievable or desirable in critical systems with high-stakes decisions. Instead, human-AI teams can achieve better results. To research, develop, evalu…