1 citations · 2 across the 5 of their papers we have counts for
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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…
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…