Copertina

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qu, Yun, Wang, Boyuan, Shao, Jianzhun, Jiang, Yuhang, Chen, Chen, Ye, Zhenbin, Liu, Lin, Yang, Junfeng, Lai, Lin, Qin, Hongyang, Deng, Minwen, Zhuo, Juchao, Ye, Deheng, Fu, Qiang, Yang, Wei, Yang, Guang, Huang, Lanxiao, Ji, Xiangyang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
di: Liu, Lin, et al.
Pubblicazione: (2024)

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

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model
di: He, Shuncheng, et al.
Pubblicazione: (2025)

Playable Game Generation
di: Yang, Mingyu, et al.
Pubblicazione: (2024)

Cross-Domain Offline Policy Adaptation via Selective Transition Correction
di: Yan, Mengbei, et al.
Pubblicazione: (2026)

AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
di: Lin, Zichuan, et al.
Pubblicazione: (2025)

Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration
di: Qu, Yun, et al.
Pubblicazione: (2024)

Doubly Mild Generalization for Offline Reinforcement Learning
di: Mao, Yixiu, et al.
Pubblicazione: (2024)

SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization
di: Wang, Zhengcheng, et al.
Pubblicazione: (2025)

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation
di: Zhao, He, et al.
Pubblicazione: (2026)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
di: He, Longxiang, et al.
Pubblicazione: (2025)

The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games
di: Zheng, Zhang, et al.
Pubblicazione: (2025)

Debiased Model-based Representations for Sample-efficient Continuous Control
di: Lyu, Jiafei, et al.
Pubblicazione: (2026)

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
di: Yang, Kai, et al.
Pubblicazione: (2025)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
di: Mao, Yixiu, et al.
Pubblicazione: (2024)

Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Games
di: Yang, Xionghui, et al.
Pubblicazione: (2026)

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
di: Sun, Shengjie, et al.
Pubblicazione: (2025)

Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data
di: Li, Lanxiao
Pubblicazione: (2024)

Liver enzyme and risk of vascular dementia: A univariable and multivariable Mendelian randomization of European descent
di: Jieyu Chen, et al.
Pubblicazione: (2024)

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
di: Zhang, Fuxiang, et al.
Pubblicazione: (2024)

Learning Versatile Skills with Curriculum Masking
di: Tang, Yao, et al.
Pubblicazione: (2024)

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
di: Mao, Yixiu, et al.
Pubblicazione: (2025)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
di: Qu, Yun, et al.
Pubblicazione: (2024)

On the phase of the de Sitter density of states
di: Chen, Yiming, et al.
Pubblicazione: (2025)

Affordable Generative Agents
di: Yu, Yangbin, et al.
Pubblicazione: (2024)

More Agents Is All You Need
di: Li, Junyou, et al.
Pubblicazione: (2024)

Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
di: Chen, Hongyang, et al.
Pubblicazione: (2026)

Flow-Matching Based Refiner for Molecular Conformer Generation
di: Xu, Xiangyang, et al.
Pubblicazione: (2025)

M-GLC: Motif-Driven Global-Local Context Graphs for Few-shot Molecular Property Prediction
di: Xu, Xiangyang, et al.
Pubblicazione: (2025)

Corruption-Robust Offline Reinforcement Learning with General Function Approximation
di: Ye, Chenlu, et al.
Pubblicazione: (2023)

Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
di: Hu, Yuhang, et al.
Pubblicazione: (2022)

PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
di: Lin, Zichuan, et al.
Pubblicazione: (2025)

PhyCustom: Towards Realistic Physical Customization in Text-to-Image Generation
di: Wu, Fan, et al.
Pubblicazione: (2025)

Multi-agent In-context Coordination via Decentralized Memory Retrieval
di: Jiang, Tao, et al.
Pubblicazione: (2025)

Quantum Channel Capacity of Traversable Wormhole
di: Lu, Jingru, et al.
Pubblicazione: (2026)

Comments on the de Sitter Double Cone
di: Yang, Zhenbin, et al.
Pubblicazione: (2025)

Configurations of Sustained Volunteerism: A Fuzzy‐Set Qualitative Comparative Analysis
di: Zhenbin Ding, et al.
Pubblicazione: (2025)

A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
di: Gan, Min, et al.
Pubblicazione: (2025)