"dynamic programming" Papers
8 papers found
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Runyu Lu, Peng Zhang, Ruochuan Shi et al.
NeurIPS 2025posterarXiv:2511.00811
2
citations
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao et al.
AAAI 2024paperarXiv:2309.05915
25
citations
Distributional Bellman Operators over Mean Embeddings
Li Kevin Wenliang, Gregoire Deletang, Matthew Aitchison et al.
ICML 2024oral
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
Molei Qin, Shuo Sun, Wentao Zhang et al.
AAAI 2024paperarXiv:2309.12891
24
citations
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
Xinlei Niu, Christian Walder, Jing Zhang et al.
ICML 2024poster
Neural Time
Reversed Generalized Riccati Equation
AAAI 2024paperarXiv:2006.15753
6
citations
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus van der Linden, Emir Demirović
AAAI 2024paperarXiv:2401.04489
Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
Mim van den Bos, Jacobus van der Linden, Emir Demirović
ICML 2024poster