Imagen de Portada

Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dayo, Joseph Emmanuel DL, Ogbinar, Michel Onasis S., Naval Jr, Prospero C.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network
por: Dayo, Joseph Emmanuel DL, et al.
Publicado: (2025)

Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
por: Li, Chengwei, et al.
Publicado: (2026)

Combating Adversarial Attacks with Multi-Agent Debate
por: Chern, Steffi, et al.
Publicado: (2024)

Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
por: Liu, Qihao, et al.
Publicado: (2025)

Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI
por: Kar, Swati, et al.
Publicado: (2025)

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
por: Chen, Runfa, et al.
Publicado: (2024)

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments
por: Yang, Xiao, et al.
Publicado: (2025)

PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
por: Suarez, Joseph
Publicado: (2024)

Combating Data Laundering in LLM Training
por: Li, Muxing, et al.
Publicado: (2026)

Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
por: Gong, Yanxiang, et al.
Publicado: (2022)

Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
por: Ayabe, Shingo, et al.
Publicado: (2025)

Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface
por: Wei, Zhuangkun, et al.
Publicado: (2024)

GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
por: Prospero, Lorenza, et al.
Publicado: (2024)

Adversarial Diffusion for Robust Reinforcement Learning
por: Foffano, Daniele, et al.
Publicado: (2025)

Scale-free Adversarial Reinforcement Learning
por: Chen, Mingyu, et al.
Publicado: (2024)

Training Environment for High Performance Reinforcement Learning
por: Search, Greg
Publicado: (2025)

Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
por: Yao, Chenhao, et al.
Publicado: (2025)

Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments
por: de Sousa, Umberto Gonçalves
Publicado: (2025)

Adversarial Reinforcement Learning for Offensive and Defensive Agents in a Simulated Zero-Sum Network Environment
por: Shahid, Abrar, et al.
Publicado: (2025)

2.5-D Decomposition for LLM-Based Spatial Construction
por: Whitten, Paul, et al.
Publicado: (2026)

Localized Observation Abstraction Using Piecewise Linear Spatial Decay for Reinforcement Learning in Combat Simulations
por: Black, Scotty, et al.
Publicado: (2024)

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
por: Chai, Jiajun, et al.
Publicado: (2022)

Heterogeneous Adversarial Play in Interactive Environments
por: Xu, Manjie, et al.
Publicado: (2025)

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

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

CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
por: Chen, Peng, et al.
Publicado: (2025)

How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning
por: Sagduyu, Yalin E., et al.
Publicado: (2025)

Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research
por: Zhu, Jessica, et al.
Publicado: (2024)

Environment Design for Inverse Reinforcement Learning
por: Buening, Thomas Kleine, et al.
Publicado: (2022)

Learning to Generate Unit Test via Adversarial Reinforcement Learning
por: Lee, Dongjun, et al.
Publicado: (2025)

Adversarial Preference Learning for Robust LLM Alignment
por: Wang, Yuanfu, et al.
Publicado: (2025)

How Adversarial Environments Mislead Agentic AI?
por: Zhan, Zhonghao, et al.
Publicado: (2026)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
por: Selmonaj, Ardian, et al.
Publicado: (2025)

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
por: Fan, Junchao, et al.
Publicado: (2025)

Learning Dark Souls Combat Through Pixel Input With Neuroevolution
por: O'Connor, Jim, et al.
Publicado: (2025)

Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments
por: Volovikova, Zoya, et al.
Publicado: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
por: Nguyen, Tu Anh Hoang, et al.
Publicado: (2025)

Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
por: Sun, Xiaolin, et al.
Publicado: (2025)

Adversarial Reinforcement Learning Framework for ESP Cheater Simulation
por: Park, Inkyu, et al.
Publicado: (2025)

LLM-Empowered State Representation for Reinforcement Learning
por: Wang, Boyuan, et al.
Publicado: (2024)