Copertina

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Zizhao, Wang, Caroline, Xiao, Xuesu, Zhu, Yuke, Stone, Peter
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning Robotics I.2.9; I.2.8; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
di: Muraleedharan, Anujith, et al.
Pubblicazione: (2025)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
di: Wang, Caroline, et al.
Pubblicazione: (2022)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
di: Chaarani, Alaaeddine, et al.
Pubblicazione: (2026)

Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
di: Abcouwer, Neil, et al.
Pubblicazione: (2020)

An Automatic Ground Collision Avoidance System with Reinforcement Learning
di: Sevgili, Seyyid Osman, et al.
Pubblicazione: (2026)

The State of Robot Motion Generation
di: Bekris, Kostas E., et al.
Pubblicazione: (2024)

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
di: Romero, Angel, et al.
Pubblicazione: (2023)

Bi3: A Biplatform, Bicultural, Biperson Dataset for Social Robot Navigation
di: Stratton, Andrew, et al.
Pubblicazione: (2026)

From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
di: Römer, Ralf, et al.
Pubblicazione: (2025)

The Shortcomings of Force-from-Motion in Robot Learning
di: Aljalbout, Elie, et al.
Pubblicazione: (2024)

Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision
di: Iscan, Mehmet, et al.
Pubblicazione: (2026)

A Framework for Neurosymbolic Robot Action Planning using Large Language Models
di: Capitanelli, Alessio, et al.
Pubblicazione: (2023)

The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
di: Aljalbout, Elie, et al.
Pubblicazione: (2025)

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
di: Attolino, Nicholas, et al.
Pubblicazione: (2025)

Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries
di: Ocker, Felix, et al.
Pubblicazione: (2024)

Failure Prediction at Runtime for Generative Robot Policies
di: Römer, Ralf, et al.
Pubblicazione: (2025)

Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling
di: Liang, Yuanchu, et al.
Pubblicazione: (2024)

CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
di: Hong, Hong, et al.
Pubblicazione: (2026)

Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
di: Mitra, Sayan, et al.
Pubblicazione: (2026)

Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths
di: Nguyen, Ninh, et al.
Pubblicazione: (2026)

${\tt KRAFT}$: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
di: Sivaramakrishnan, Aravind, et al.
Pubblicazione: (2024)

Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots
di: Li, Wanyue, et al.
Pubblicazione: (2025)

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
di: Qiu, Xiaotian, et al.
Pubblicazione: (2026)

COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
di: Cannizzaro, Ricardo, et al.
Pubblicazione: (2024)

Connectivity-Aware Representations for Constrained Motion Planning via Multi-Scale Contrastive Learning
di: Jeon, Suhyun, et al.
Pubblicazione: (2026)

Learning coordinated badminton skills for legged manipulators
di: Ma, Yuntao, et al.
Pubblicazione: (2025)

Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications
di: Saccon, Enrico, et al.
Pubblicazione: (2025)

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
di: Xu, Hengxuan, et al.
Pubblicazione: (2026)

DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
di: Wang, Caroline, et al.
Pubblicazione: (2022)

Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
di: Endo, Masafumi, et al.
Pubblicazione: (2024)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
di: Romero, Angel, et al.
Pubblicazione: (2025)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
di: Schester, Larry, et al.
Pubblicazione: (2024)

Deployment-Time Reliability of Learned Robot Policies
di: Agia, Christopher
Pubblicazione: (2026)

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
di: Daba, Mohammed, et al.
Pubblicazione: (2025)

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
di: Marchiori, Francesco, et al.
Pubblicazione: (2025)

DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
di: Long, Yayu, et al.
Pubblicazione: (2025)

Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution
di: Bang, Yunseong, et al.
Pubblicazione: (2026)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
di: Yousaf, Iqra
Pubblicazione: (2024)

STERN: Simultaneous Trajectory Estimation and Relative Navigation for Autonomous Underwater Proximity Operations
di: Espinoza, Aldo Terán, et al.
Pubblicazione: (2023)

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
di: Tanneberg, Daniel, et al.
Pubblicazione: (2024)