:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Costa, Miguel, Vandervoort, Arthur, Drews, Martin, Morrissey, Karyn, Pereira, Francisco C.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.03238
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways
by: Costa, Miguel, et al.
Published: (2025)

Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen
by: Costa, Miguel, et al.
Published: (2024)

Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
by: Vandervoort, Arthur, et al.
Published: (2025)

Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning
by: Costa, Miguel, et al.
Published: (2026)

Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport
by: Costa, Miguel, et al.
Published: (2026)

Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
by: Lassen, Oskar Bohn, et al.
Published: (2025)

Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
by: Jacobson, Maxwell Joseph, et al.
Published: (2023)

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning
by: Fan, Weisi, et al.
Published: (2024)

Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
by: Han, Chao, et al.
Published: (2026)

Efficient Planning in Reinforcement Learning via Model Introspection
by: Stella, Gabriel
Published: (2026)

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
by: Zhang, Shuyuan, et al.
Published: (2025)

Machine Learning Models in Climate Prediction and Adaptation Planning in Tanzania
by: Wiyot, Kamkwamba, et al.
Published: (2009)

Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
by: He, Liu
Published: (2026)

Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling
by: Müller, Arthur, et al.
Published: (2024)

Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
by: Corazza, Jan, et al.
Published: (2025)

Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
by: Chen, Sze-Ann, et al.
Published: (2026)

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
by: Wu, Xuefei, et al.
Published: (2025)

SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning
by: Ho, Yun-Jie, et al.
Published: (2024)

Inverse Reinforcement Learning with Multiple Planning Horizons
by: Yao, Jiayu, et al.
Published: (2024)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)

A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
by: Juliani, Arthur, et al.
Published: (2024)

Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples
by: Chen, Weiqin, et al.
Published: (2024)

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
by: Wang, Guanquan, et al.
Published: (2025)

Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning
by: Cassimon, Amber, et al.
Published: (2024)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning
by: Ki, Donghyeon, et al.
Published: (2025)

Foundations of Multivariate Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)

Machine Learning Models in Climate Prediction and Adaptation Planning for Ethiopia: A Technological Perspective
by: Kassa, Bedru, et al.
Published: (2006)

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
by: Batra, Sumeet, et al.
Published: (2023)

Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters
by: Pereira, Luiz, et al.
Published: (2025)

Reinforcement Learning Generation of 4-Qubits Entangled States
by: Giordano, Sara, et al.
Published: (2022)

Test-Time Adaptation for LLM Agents via Environment Interaction
by: Chen, Arthur, et al.
Published: (2025)

Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control
by: Xiao, Maxiu, et al.
Published: (2025)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)

Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2026)

Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning
by: Hüyük, Alihan, et al.
Published: (2025)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
by: Kobanda, Anthony, et al.
Published: (2025)

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
by: McInroe, Trevor, et al.
Published: (2023)

AuthorMist: Evading AI Text Detectors with Reinforcement Learning
by: David, Isaac, et al.
Published: (2025)

Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
by: Mei, Tiehua, et al.
Published: (2026)