Imagen de Portada

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ye, Yuyang, Tang, Lu-An, Wang, Haoyu, Yu, Runlong, Yu, Wenchao, He, Erhu, Chen, Haifeng, Xiong, Hui
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Diffusion-Reward Adversarial Imitation Learning
por: Lai, Chun-Mao, et al.
Publicado: (2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
por: Ye, Yuyang, et al.
Publicado: (2024)

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
por: Lee, Geon, et al.
Publicado: (2025)

On Discovering Algorithms for Adversarial Imitation Learning
por: Chirra, Shashank Reddy, et al.
Publicado: (2025)

Adversarial Imitation Learning via Boosting
por: Chang, Jonathan D., et al.
Publicado: (2024)

Sample-efficient Adversarial Imitation Learning
por: Jung, Dahuin, et al.
Publicado: (2023)

Self-evolved Imitation Learning in Simulated World
por: Ye, Yifan, et al.
Publicado: (2025)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
por: Lin, Fangze, et al.
Publicado: (2024)

Interpretable Imitation Learning with Dynamic Causal Relations
por: Zhao, Tianxiang, et al.
Publicado: (2023)

SEAL: SEmantic-Augmented Imitation Learning via Language Model
por: Gu, Chengyang, et al.
Publicado: (2024)

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

Latent Wasserstein Adversarial Imitation Learning
por: Yang, Siqi, et al.
Publicado: (2026)

Boolean Satisfiability via Imitation Learning
por: Zhang, Zewei, et al.
Publicado: (2025)

Offline Imitation Learning with Model-based Reverse Augmentation
por: Shao, Jie-Jing, et al.
Publicado: (2024)

BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
por: Liu, Dingning, et al.
Publicado: (2025)

Model Predictive Adversarial Imitation Learning for Planning from Observation
por: Han, Tyler, et al.
Publicado: (2025)

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
por: Fang, Qingqing, et al.
Publicado: (2024)

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
por: Zhao, Heyang, et al.
Publicado: (2025)

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
por: Yu, Runlong, et al.
Publicado: (2024)

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions
por: Hu, Xuming, et al.
Publicado: (2024)

RL from Teacher-Model Refinement: Gradual Imitation Learning for Machine Translation
por: Lee, Dongyub Jude, et al.
Publicado: (2025)

Activation Function Optimization Scheme for Image Classification
por: Rahman, Abdur, et al.
Publicado: (2024)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
por: Fan, Jiangdong, et al.
Publicado: (2024)

Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
por: Veith, Eric MSP, et al.
Publicado: (2024)

Imitation Learning from Observation with Automatic Discount Scheduling
por: Liu, Yuyang, et al.
Publicado: (2023)

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
por: Zhou, Yuyang, et al.
Publicado: (2023)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
por: Guo, Ke, et al.
Publicado: (2025)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
por: Yang, Hanlin, et al.
Publicado: (2024)

Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
por: Ying, Wangyang, et al.
Publicado: (2026)

Denoising-based Contractive Imitation Learning
por: Shen, Macheng, et al.
Publicado: (2025)

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies
por: Arachchige, Nadun Ranawaka, et al.
Publicado: (2025)

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
por: Li, Naiyi, et al.
Publicado: (2025)

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

PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
por: Zhou, Weichao, et al.
Publicado: (2023)

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
por: Feng, Xinsong, et al.
Publicado: (2025)

When Answers Stray from Questions: Hallucination Detection via Question-Answer Orthogonal Decomposition
por: Yao, Siyang, et al.
Publicado: (2026)

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
por: Hou, Xinying, et al.
Publicado: (2025)

POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection
por: Zhang, Suofei, et al.
Publicado: (2026)

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation
por: Inferix Team, et al.
Publicado: (2025)

Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
por: Sun, Yiming, et al.
Publicado: (2026)