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Entropy regularized reinforcement learning using large deviation theory

Argenis Arriojas1,*, Jacob Adamczyk1, Stas Tiomkin2, and Rahul V. Kulkarni1,†

  • 1Department of Physics, University of Massachusetts Boston, Boston, Massachusetts 02125, USA
  • 2Department of Computer Engineering, San Jose State University, San Jose, California 95192, USA

  • *arriojasmaldonado001@umb.edu
  • †rahul.kulkarni@umb.edu

Hierarchical soft actor-critic with auxiliary value function guidance for urban autonomous driving

Zhiqiang Zuo, Wenfei Liu, Haoyu Wang, Zheng Li, Peng Li, and Yijing Wang

Neurocomputing 703 134707 (2026)

Dynamic proximal policy optimization: Enhancing PPO with adaptive entropy and smooth clipping

Shiyu Sha, Yanhong Liu, and Benyan Huo

Neurocomputing 674 132861 (2026)

Regime-Adaptive Conformal Calibration of Entropic Soft-Min Relaxations for Heterogeneous Optimization Problems

J. Ernesto Solanes and Aitana Francés-Falip

Mathematics 14 1188 (2026)

Adaptive control of twin rotor system based on two-stage reinforcement learning with quantile-guided trust region

Song Huang, Donghai Li, Min Zhu, and Wei Wei

Engineering Applications of Artificial Intelligence 184 116307 (2026)

Geometry-Aware Conformal Calibration of Entropic Soft-Min Operators for Machine Learning and Reinforcement Learning

J. Ernesto Solanes and Aitana Francés-Falip

Electronics 15 1704 (2026)

Geometry-Aware Conformal Temperature Calibration for Entropic Action Selection in Reinforcement Learning

J. Ernesto Solanes and Aitana Francés-Falip

Electronics 15 3192 (2026)

Optimal location method of emergency communication nodes based on digital terrain features

Junjie Qi, Jiping Liu, Jie Zhen, and Hao Su

International Journal of Digital Earth 18 2594250 (2025)

No title available

Taku Iguchi, Kei Uchimura, Shigeyuki Miyagi, and Osamu Sakai

Maze-solving in a plasma system based on functional analogies to reinforcement-learning model

Osamu Sakai, Toshifusa Karasaki, Tsuyohito Ito, Tomoyuki Murakami, Manabu Tanaka, Makoto Kambara, Satoshi Hirayama, and Manabu Sakakibara

PLoS ONE 19 e0300842 (2024)

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