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20192026
most citedLearning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

52 citations · 65 across the 11 of their papers we have counts for

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cs.AI2025

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…