Imagen de Portada

Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Karia, Rushang, Verma, Pulkit, Speranzon, Alberto, Srivastava, Siddharth
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

$\forall$uto$\exists$val: Autonomous Assessment of LLMs in Formal Synthesis and Interpretation Tasks
por: Karia, Rushang, et al.
Publicado: (2024)

Discovering and Learning Probabilistic Models of Black-Box AI Capabilities
por: Bramblett, Daniel, et al.
Publicado: (2025)

Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
por: Karia, Rushang, et al.
Publicado: (2024)

Using Explainable AI and Hierarchical Planning for Outreach with Robots
por: Karia, Rushang, et al.
Publicado: (2024)

AI Planning: A Primer and Survey (Preliminary Report)
por: Chen, Dillon Z., et al.
Publicado: (2024)

From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
por: Shah, Naman, et al.
Publicado: (2024)

Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
por: Nayyar, Rashmeet Kaur, et al.
Publicado: (2024)

Exploration and Adaptation in Non-Stationary Tasks with Diffusion Policies
por: Baveja, Gunbir Singh
Publicado: (2025)

Incentivized Exploration of Non-Stationary Stochastic Bandits
por: Chakraborty, Sourav, et al.
Publicado: (2024)

Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning
por: Verma, Pulkit, et al.
Publicado: (2025)

Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies
por: Strader, Jared, et al.
Publicado: (2023)

Depth-Bounded Epistemic Planning
por: Bolander, Thomas, et al.
Publicado: (2024)

Belief-State Query Policies for User-Aligned POMDPs
por: Bramblett, Daniel, et al.
Publicado: (2024)

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
por: Srivastava, Siddharth, et al.
Publicado: (2025)

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning
por: Agrawal, Pulkit, et al.
Publicado: (2025)

In-Context Learning for Non-Stationary MIMO Equalization
por: Jiang, Jiachen, et al.
Publicado: (2025)

Improving Intrinsic Exploration by Creating Stationary Objectives
por: Castanyer, Roger Creus, et al.
Publicado: (2023)

SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition
por: Dey, Jayanta, et al.
Publicado: (2026)

Active Epistemic Control for Query-Efficient Verified Planning
por: Qu, Shuhui
Publicado: (2026)

The Epistemic Planning Domain Definition Language: Official Guideline
por: Burigana, Alessandro, et al.
Publicado: (2026)

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
por: Nayyar, Rashmeet Kaur, et al.
Publicado: (2025)

Inverse Reinforcement Learning from Non-Stationary Learning Agents
por: Sivakumar, Kavinayan P., et al.
Publicado: (2024)

Multi-Objective Planning with Contextual Lexicographic Reward Preferences
por: Rustagi, Pulkit, et al.
Publicado: (2025)

Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents
por: Yang, Jinming, et al.
Publicado: (2026)

Multi-Label Transfer Learning in Non-Stationary Data Streams
por: Du, Honghui, et al.
Publicado: (2025)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments
por: Hamadanian, Pouya, et al.
Publicado: (2023)

Beyond Static Assumptions: the Predictive Justified Perspective Model for Epistemic Planning
por: Hu, Guang, et al.
Publicado: (2024)

Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
por: Gerogiannis, Argyrios, et al.
Publicado: (2024)

Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
por: Galashov, Alexandre, et al.
Publicado: (2024)

MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
por: Du, Honghui, et al.
Publicado: (2025)

Grounded World Model for Semantically Generalizable Planning
por: Li, Quanyi, et al.
Publicado: (2026)

Non-Stationary Latent Auto-Regressive Bandits
por: Trella, Anna L., et al.
Publicado: (2024)

Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning
por: Wang, Tongxi, et al.
Publicado: (2026)

On Sample-Efficient Generalized Planning via Learned Transition Models
por: Gupta, Nitin, et al.
Publicado: (2026)

From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution
por: Koch, Bernard J., et al.
Publicado: (2024)

Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives
por: Afshar, Aida, et al.
Publicado: (2024)

Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation
por: Zhang, Weiming, et al.
Publicado: (2026)

An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
por: Khan, Falaah Arif, et al.
Publicado: (2023)

Value Augmented Sampling for Language Model Alignment and Personalization
por: Han, Seungwook, et al.
Publicado: (2024)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
por: Luo, Baiting, et al.
Publicado: (2024)