:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Palmas, Alessandro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.00641
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning for High-Level Strategic Control in Tower Defense Games
by: Bergdahl, Joakim, et al.
Published: (2024)

Real-Time Sampling-based Online Planning for Drone Interception
by: Ryou, Gilhyun, et al.
Published: (2025)

Agile Interception of a Flying Target using Competitive Reinforcement Learning
by: Gavin, Timothée, et al.
Published: (2026)

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
by: Bychkov, Oleksii
Published: (2026)

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning
by: Giral, Francisco, et al.
Published: (2024)

Causal Information Prioritization for Efficient Reinforcement Learning
by: Cao, Hongye, et al.
Published: (2025)

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)

Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning
by: Ma, Weiyu, et al.
Published: (2026)

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
by: Wu, Qizhen, et al.
Published: (2024)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
by: Trapasso, Alessandro, et al.
Published: (2025)

From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks
by: Zhou, Yuyang, et al.
Published: (2025)

Regret-Based Defense in Adversarial Reinforcement Learning
by: Belaire, Roman, et al.
Published: (2023)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)

Smart Commander: A Hierarchical Reinforcement Learning Framework for Fleet-Level PHM Decision Optimization
by: Si, Yong, et al.
Published: (2026)

Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road Assessment
by: Gong, Huatian, et al.
Published: (2025)

Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
by: Allegue, Daniel De Dios, et al.
Published: (2025)

Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)

Optimal Attack and Defense for Reinforcement Learning
by: McMahan, Jeremy, et al.
Published: (2023)

Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones
by: Poletti, Romain, et al.
Published: (2025)

ARISE: Adaptive Reinforcement Integrated with Swarm Exploration
by: M, Rajiv Chaitanya, et al.
Published: (2026)

Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone
by: Roberts II, Nathan M., et al.
Published: (2025)

Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
by: Selmonaj, Ardian, et al.
Published: (2025)

Reinforcement Learning for Enhancing Sensing Estimation in Bistatic ISAC Systems with UAV Swarms
by: Atsu, Obed Morrison, et al.
Published: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
by: Freymuth, Niklas, et al.
Published: (2024)

Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
by: Mohan, Adithya, et al.
Published: (2025)

Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms
by: Dhuheir, Marwan, et al.
Published: (2024)

Stochastic Decision Horizons for Constrained Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2026)

Prioritized Generative Replay
by: Wang, Renhao, et al.
Published: (2024)

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
by: Dou, Jizhe, et al.
Published: (2024)

Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
by: Ewers, Jan-Hendrik, et al.
Published: (2024)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
by: Zeng, Taihelong, et al.
Published: (2025)

Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2025)

Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
by: King, Isaiah J., et al.
Published: (2025)

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
by: Yin, Chenlong, et al.
Published: (2026)

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
by: Skalse, Joar, et al.
Published: (2024)

Optimizing Interpretable Decision Tree Policies for Reinforcement Learning
by: Vos, Daniël, et al.
Published: (2024)

Harnessing Causality in Reinforcement Learning With Bagged Decision Times
by: Gao, Daiqi, et al.
Published: (2024)

D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation
by: Zhang, Yu, et al.
Published: (2026)

Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
by: Koifman, Yigal, et al.
Published: (2026)

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
by: Wang, Xian, et al.
Published: (2024)