Imagen de Portada

Universal Imitation Games

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Mahadevan, Sridhar
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Universal Reinforcement Learning in Coalgebras: Asynchronous Stochastic Computation via Conduction
por: Mahadevan, Sridhar
Publicado: (2025)

GAIA: Categorical Foundations of Generative AI
por: Mahadevan, Sridhar
Publicado: (2024)

Consciousness as a Functor
por: Mahadevan, Sridhar
Publicado: (2025)

CSQL: Mapping Documents into Causal Databases
por: Mahadevan, Sridhar
Publicado: (2026)

Memory-Consistent Neural Networks for Imitation Learning
por: Sridhar, Kaustubh, et al.
Publicado: (2023)

Universal Decision Learners
por: Mahadevan, Sridhar
Publicado: (2026)

Scaling Laws for Imitation Learning in Single-Agent Games
por: Tuyls, Jens, et al.
Publicado: (2023)

Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
por: Celemin, Carlos, et al.
Publicado: (2025)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
por: Lei, Shiqi, et al.
Publicado: (2024)

Topos Causal Models
por: Mahadevan, Sridhar
Publicado: (2025)

Topos Theory for Generative AI and LLMs
por: Mahadevan, Sridhar
Publicado: (2025)

Decentralized Causal Discovery using Judo Calculus
por: Mahadevan, Sridhar
Publicado: (2025)

PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
por: Mahadevan, Sridhar
Publicado: (2026)

Large Causal Models from Large Language Models
por: Mahadevan, Sridhar
Publicado: (2025)

Imitation Game: Reproducing Deep Learning Bugs Leveraging an Intelligent Agent
por: Shah, Mehil B, et al.
Publicado: (2025)

Imitation Bootstrapped Reinforcement Learning
por: Hu, Hengyuan, et al.
Publicado: (2023)

Quantifying Generalisation in Imitation Learning
por: Gavenski, Nathan, et al.
Publicado: (2025)

Efficient Imitation under Misspecification
por: Espinosa-Dice, Nicolas, et al.
Publicado: (2025)

Kan Extension Transformers: A Categorical Unification of Attention, Diffusion, and Predict-Detach Self-Conditioning
por: Mahadevan, Sridhar
Publicado: (2026)

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
por: Yu, Xingrui, et al.
Publicado: (2024)

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

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

Noise-Guided Transport for Imitation Learning
por: Blondé, Lionel, et al.
Publicado: (2025)

Imitation Learning via Focused Satisficing
por: Shah, Rushit N., et al.
Publicado: (2025)

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

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

Imitation Learning as Return Distribution Matching
por: Lazzati, Filippo, et al.
Publicado: (2025)

Intuitionistic $j$-Do-Calculus in Topos Causal Models
por: Mahadevan, Sridhar
Publicado: (2025)

Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games
por: Schäfer, Lukas, et al.
Publicado: (2023)

Online Adaptation for Enhancing Imitation Learning Policies
por: Malato, Federico, et al.
Publicado: (2024)

Semi-Supervised One-Shot Imitation Learning
por: Wu, Philipp, et al.
Publicado: (2024)

Imitating Cost-Constrained Behaviors in Reinforcement Learning
por: Shao, Qian, et al.
Publicado: (2024)

Reinforcement Learning via Implicit Imitation Guidance
por: Dong, Perry, et al.
Publicado: (2025)

Confounded Causal Imitation Learning with Instrumental Variables
por: Zeng, Yan, et al.
Publicado: (2025)

DITTO: Offline Imitation Learning with World Models
por: DeMoss, Branton, et al.
Publicado: (2023)

RILe: Reinforced Imitation Learning
por: Albaba, Mert, et al.
Publicado: (2024)

Generalization Capability for Imitation Learning
por: Wang, Yixiao
Publicado: (2025)

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models
por: Mahadevan, Sridhar
Publicado: (2025)

DIDA: Denoised Imitation Learning based on Domain Adaptation
por: Huang, Kaichen, et al.
Publicado: (2024)

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