35118@AAAI

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#1 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets [PDF1] [Copy] [Kimi] [REL]

Author: Ling Pan

In this talk, I will present our recent advances in sequential decision-making systems in reward-maximizing deep RL and the emerging reward-matching GFlowNets. The presentation will examine three fundamental challenges: efficiency, robustness, and practical applications.

Subject: AAAI.2025 - New Faculty Highlights