Reinforcement learning – Page 101

July 13, 2025

Summary of Uncertainty Representations in State-space Layers For Deep Reinforcement Learning Under Partial Observability, by Carlos E. Luis et al.

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observabilityby Carlos E. Luis,…

July 13, 2025

Summary of Asynchronous Fractional Multi-agent Deep Reinforcement Learning For Age-minimal Mobile Edge Computing, by Lyudong Jin et al.

Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computingby Lyudong Jin, Ming Tang,…

July 13, 2025

Summary of Revisiting Space Mission Planning: a Reinforcement Learning-guided Approach For Multi-debris Rendezvous, by Agni Bandyopadhyay and Guenther Waxenegger-wilfing

Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvousby Agni Bandyopadhyay, Guenther Waxenegger-WilfingFirst…

July 13, 2025

Summary of Development and Validation Of Heparin Dosing Policies Using An Offline Reinforcement Learning Algorithm, by Yooseok Lim et al.

Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithmby Yooseok Lim,…

July 13, 2025

Summary of Adaptive Learn-then-test: Statistically Valid and Efficient Hyperparameter Selection, by Matteo Zecchin et al.

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selectionby Matteo Zecchin, Sangwoo Park, Osvaldo SimeoneFirst submitted…

July 13, 2025

Summary of Uncertainty Representations in State-space Layers For Deep Reinforcement Learning Under Partial Observability, by Carlos E. Luis et al.

Summary of Asynchronous Fractional Multi-agent Deep Reinforcement Learning For Age-minimal Mobile Edge Computing, by Lyudong Jin et al.

Summary of Revisiting Space Mission Planning: a Reinforcement Learning-guided Approach For Multi-debris Rendezvous, by Agni Bandyopadhyay and Guenther Waxenegger-wilfing

Summary of Development and Validation Of Heparin Dosing Policies Using An Offline Reinforcement Learning Algorithm, by Yooseok Lim et al.

Summary of Adaptive Learn-then-test: Statistically Valid and Efficient Hyperparameter Selection, by Matteo Zecchin et al.

Summary of Provably Efficient Exploration in Inverse Constrained Reinforcement Learning, by Bo Yue et al.

Summary of Reinforcement Feature Transformation For Polymer Property Performance Prediction, by Xuanming Hu et al.

Summary of Candere-coach: Reinforcement Learning From Noisy Feedback, by Yuxuan Li et al.

Summary of Acting For the Right Reasons: Creating Reason-sensitive Artificial Moral Agents, by Kevin Baum et al.

Summary of Cosbo: Conservative Offline Simulation-based Policy Optimization, by Eshagh Kargar and Ville Kyrki