Cover Image

Reinforcement Learning with Partial Parametric Model Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Shuyuan, Loewen, Philip D., Lawrence, Nathan P., Forbes, Michael G., Gopaluni, R. Bhushan
Format:	Preprint
Published:	2023
Subjects:	Systems and Control Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)

A modular framework for stabilizing deep reinforcement learning control
by: Lawrence, Nathan P., et al.
Published: (2023)

Deep Hankel matrices with random elements
by: Lawrence, Nathan P., et al.
Published: (2024)

Guiding Reinforcement Learning with Incomplete System Dynamics
by: Wang, Shuyuan, et al.
Published: (2024)

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
by: Lawrence, Nathan P., et al.
Published: (2025)

ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries
by: Rudolf, Thomas, et al.
Published: (2024)

End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
by: Wolf, Hinrikus, et al.
Published: (2024)

Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning
by: Rudolf, Thomas, et al.
Published: (2024)

Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
by: Mete, Akshay, et al.
Published: (2026)

Inverse Delayed Reinforcement Learning
by: Zhan, Simon Sinong, et al.
Published: (2024)

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
by: Shin, Hyo-Sang, et al.
Published: (2019)

Novelty Detection in Reinforcement Learning with World Models
by: Zollicoffer, Geigh, et al.
Published: (2023)

Faster Reinforcement Learning by Freezing Slow States
by: Wang, Yijia, et al.
Published: (2023)

Approximate Model-Based Shielding for Safe Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2023)

Oracle-Efficient Reinforcement Learning for Max Value Ensembles
by: Hussing, Marcel, et al.
Published: (2024)

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
by: Reiter, Rudolf, et al.
Published: (2025)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)

Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation
by: Peri, Samuele, et al.
Published: (2024)

Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
by: Wang, Shuyuan, et al.
Published: (2025)

Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)

Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
by: Gundawar, Atharva, et al.
Published: (2024)

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
by: Wang, Lingxiao, et al.
Published: (2022)

From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
by: Li, Peilang, et al.
Published: (2025)

Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)

InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management
by: Thangeda, Pranay, et al.
Published: (2024)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)

Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)

Risk-Sensitive Reinforcement Learning with Exponential Criteria
by: Noorani, Erfaun, et al.
Published: (2022)

Error whitening: Why Gauss-Newton outperforms Newton
by: McKay, Maricela Best, et al.
Published: (2026)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
by: Xu, Duo, et al.
Published: (2024)

Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
by: Bose, Shourya, et al.
Published: (2026)

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
by: Urgun, Dogan, et al.
Published: (2026)

Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
by: Mitra, Aritra, et al.
Published: (2023)

Meta-Reinforcement Learning for Building Energy Management System
by: Zhang, Huiliang, et al.
Published: (2022)

Structured Reinforcement Learning for Media Streaming at the Wireless Edge
by: Bura, Archana, et al.
Published: (2024)

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
by: Theile, Mirco, et al.
Published: (2024)

Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)

Constrained Reinforcement Learning with Smoothed Log Barrier Function
by: Zhang, Baohe, et al.
Published: (2024)