AAAI 2025technical0 citations
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets
Abstract
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.
BibTeX
@article{Pan_2025, title={Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/35118}, DOI={10.1609/aaai.v39i27.35118}, abstractNote={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.}, number={27}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Pan, Ling}, year={2025}, month={Apr.}, pages={28724-28724} }