Cover Image

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mondal, Arnab Kumar, Panigrahi, Siba Smarak, Rajeswar, Sai, Siddiqi, Kaleem, Ravanbakhsh, Siamak
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Canonicalization for Model Agnostic Equivariance
by: Panigrahi, Siba Smarak, et al.
Published: (2024)

Learning to Reach Goals via Diffusion
by: Jain, Vineet, et al.
Published: (2023)

Scaling Laws and Symmetry, Evidence from Neural Force Fields
by: Ngo, Khang, et al.
Published: (2025)

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
by: Shakerinava, Mehran, et al.
Published: (2025)

On Diffusion Modeling for Anomaly Detection
by: Livernoche, Victor, et al.
Published: (2023)

HeurekaBench: A Benchmarking Framework for AI Co-scientist
by: Panigrahi, Siba Smarak, et al.
Published: (2026)

Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
by: Jain, Vineet, et al.
Published: (2025)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
by: Levy, Daniel, et al.
Published: (2025)

The Role of Symmetry in Optimizing Overparameterized Networks
by: Sareen, Kusha, et al.
Published: (2026)

Inverting Data Transformations via Diffusion Sampling
by: Kim, Jinwoo, et al.
Published: (2026)

Energy Loss Functions for Physical Systems
by: Kaba, Sékou-Oumar, et al.
Published: (2025)

Unsupervised Process Reward Models
by: Gadetsky, Artyom, et al.
Published: (2026)

Choreographer: Learning and Adapting Skills in Imagination
by: Mazzaglia, Pietro, et al.
Published: (2022)

SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting
by: Stavrou, Nikolas, et al.
Published: (2026)

Symmetry-Aware Generative Modeling through Learned Canonicalization
by: Sareen, Kusha, et al.
Published: (2025)

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
by: Malay, Shiva Krishna Reddy, et al.
Published: (2026)

Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
by: Thuau, Sébastien, et al.
Published: (2025)

Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
by: Ablett, Trevor, et al.
Published: (2023)

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)

PairBench: Are Vision-Language Models Reliable at Comparing What They See?
by: Feizi, Aarash, et al.
Published: (2025)

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
by: Das, Arghadip, et al.
Published: (2025)

A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)

EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding
by: Andrikopoulos, Panagiotis, et al.
Published: (2026)

Multi-Armed Sampling Problem and the End of Exploration
by: Pedramfar, Mohammad, et al.
Published: (2025)

GenRL: Multimodal-foundation world models for generalization in embodied agents
by: Mazzaglia, Pietro, et al.
Published: (2024)

Symmetry Breaking and Equivariant Neural Networks
by: Kaba, Sékou-Oumar, et al.
Published: (2023)

Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
by: van Nieuwkoop, Gijs, et al.
Published: (2026)

MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
by: van Wonderen, Samuel, et al.
Published: (2026)

Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
by: Maji, Prasenjit, et al.
Published: (2024)

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
by: Berman, Nimrod, et al.
Published: (2025)

Sample-Efficient Constrained Reinforcement Learning with General Parameterization
by: Mondal, Washim Uddin, et al.
Published: (2024)

KIPPO: Koopman-Inspired Proximal Policy Optimization
by: Cozma, Andrei, et al.
Published: (2025)

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
by: Auddy, Arnab, et al.
Published: (2026)

Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
by: Sponner, Max, et al.
Published: (2024)

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling
by: Li, Ang, et al.
Published: (2026)

Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks
by: Rothenbeck, Phillip, et al.
Published: (2025)

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
by: Li, Alice Kate, et al.
Published: (2025)

ED2: Environment Dynamics Decomposition World Models for Continuous Control
by: Hao, Jianye, et al.
Published: (2021)

On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
by: Mohammadigohari, Mahdi, et al.
Published: (2025)