Image de couverture de livre

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Brahmanage, Janaka Chathuranga, Ling, Jiajing, Kumar, Akshat
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FlowPG: Action-constrained Policy Gradient with Normalizing Flows
par: Brahmanage, Janaka Chathuranga, et autres
Publié: (2024)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
par: Brahmanage, Janaka Chathuranga, et autres
Publié: (2026)

Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
par: Low, Siow Meng, et autres
Publié: (2024)

Offline Safe Reinforcement Learning Using Trajectory Classification
par: Gong, Ze, et autres
Publié: (2024)

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
par: Bai, Qinbo, et autres
Publié: (2022)

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
par: Hazra, Somnath, et autres
Publié: (2025)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
par: Alles, Marvin, et autres
Publié: (2024)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
par: Xu, Yinglun, et autres
Publié: (2023)

Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
par: Meng, Guanlin
Publié: (2023)

Discovering Reinforcement Learning Interfaces with Large Language Models
par: Jaswal, Akshat Singh, et autres
Publié: (2026)

Continual Learning as Computationally Constrained Reinforcement Learning
par: Kumar, Saurabh, et autres
Publié: (2023)

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
par: Theile, Mirco, et autres
Publié: (2024)

TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
par: Low, Siow Meng, et autres
Publié: (2025)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
par: Liao, Xiao-Cheng, et autres
Publié: (2025)

State-Constrained Offline Reinforcement Learning
par: Hepburn, Charles A., et autres
Publié: (2024)

Locally Constrained Representations in Reinforcement Learning
par: Nath, Somjit, et autres
Publié: (2022)

A Timeline and Analysis for Representation Plasticity in Large Language Models
par: Kannan, Akshat
Publié: (2024)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
par: Gao, Yunkai, et autres
Publié: (2025)

Inverse Reinforcement Learning With Constraint Recovery
par: Das, Nirjhar, et autres
Publié: (2023)

Memory Allocation in Resource-Constrained Reinforcement Learning
par: Tamborski, Massimiliano, et autres
Publié: (2025)

Large Scale Constrained Clustering With Reinforcement Learning
par: Schesch, Benedikt, et autres
Publié: (2024)

Imitating Cost-Constrained Behaviors in Reinforcement Learning
par: Shao, Qian, et autres
Publié: (2024)

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
par: Lu, Yuxiao, et autres
Publié: (2023)

Learning Local Constraints for Reinforcement-Learned Content Generators
par: Bhaumik, Debosmita, et autres
Publié: (2026)

Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints
par: Chen, Siyuan, et autres
Publié: (2025)

Reinforcement Learning with Action Chunking
par: Li, Qiyang, et autres
Publié: (2025)

Reinforcement Learning with $ω$-Regular Objectives and Constraints
par: Wagner, Dominik, et autres
Publié: (2025)

Conservative Distributional Reinforcement Learning with Safety Constraints
par: Zhang, Hengrui, et autres
Publié: (2022)

Probabilistic Constraint for Safety-Critical Reinforcement Learning
par: Chen, Weiqin, et autres
Publié: (2023)

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
par: Mao, Yixiu, et autres
Publié: (2025)

Counterfactual Explanations for Continuous Action Reinforcement Learning
par: Dong, Shuyang, et autres
Publié: (2025)

In-Context Reinforcement Learning for Variable Action Spaces
par: Sinii, Viacheslav, et autres
Publié: (2023)

Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning
par: McCarthy, James, et autres
Publié: (2025)

Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
par: Yue, Bo, et autres
Publié: (2024)

Sample-Efficient Constrained Reinforcement Learning with General Parameterization
par: Mondal, Washim Uddin, et autres
Publié: (2024)

Sample Complexity Analysis for Constrained Bilevel Reinforcement Learning
par: Saxena, Naman, et autres
Publié: (2026)

A Survey of Constraint Formulations in Safe Reinforcement Learning
par: Wachi, Akifumi, et autres
Publié: (2024)

Offline Reinforcement Learning with Penalized Action Noise Injection
par: Oh, JunHyeok, et autres
Publié: (2025)

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
par: Nayyar, Rashmeet Kaur, et autres
Publié: (2025)

Model-based Reinforcement Learning for Parameterized Action Spaces
par: Zhang, Renhao, et autres
Publié: (2024)