Image de couverture de livre

Pure Planning to Pure Policies and In Between with a Recursive Tree Planner

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Redlich, A. Norman
Format:	Preprint
Publié:	2024
Sujets:	Robotics Machine Learning I.2.9; I.2.6
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Positive-Only Drifting Policy Optimization
par: Zhang, Qi
Publié: (2026)

Physics-Informed Policy Optimization via Analytic Dynamics Regularization
par: Chandra, Namai, et autres
Publié: (2026)

LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
par: Chang, Wei-Jer, et autres
Publié: (2025)

How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
par: Gupta, Krishnam
Publié: (2026)

Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction
par: Min, Junha, et autres
Publié: (2026)

Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
par: Abcouwer, Neil, et autres
Publié: (2020)

DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
par: Bagajo, Joshua, et autres
Publié: (2024)

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
par: Trinh, Minh, et autres
Publié: (2025)

Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture
par: Wu, Beining, et autres
Publié: (2026)

ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
par: Shamass, Faiq
Publié: (2026)

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
par: Römer, Ralf, et autres
Publié: (2026)

Graph Neural Network Based Action Ranking for Planning
par: Mangannavar, Rajesh, et autres
Publié: (2024)

Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution
par: Bang, Yunseong, et autres
Publié: (2026)

A Framework for Neurosymbolic Robot Action Planning using Large Language Models
par: Capitanelli, Alessio, et autres
Publié: (2023)

CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
par: Hong, Hong, et autres
Publié: (2026)

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
par: Marchiori, Francesco, et autres
Publié: (2025)

DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
par: Long, Yayu, et autres
Publié: (2025)

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
par: Xu, Hengxuan, et autres
Publié: (2026)

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
par: Qiu, Xiaotian, et autres
Publié: (2026)

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
par: Alhakami, Mohannad, et autres
Publié: (2024)

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
par: Chen, Yuxin, et autres
Publié: (2024)

SPACeR: Self-Play Anchoring with Centralized Reference Models
par: Chang, Wei-Jer, et autres
Publié: (2025)

SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
par: Shi, Xiang, et autres
Publié: (2026)

When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
par: Haklidir, Mehmet
Publié: (2026)

CUPID: Curating Data your Robot Loves with Influence Functions
par: Agia, Christopher, et autres
Publié: (2025)

MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
par: Li, Xidong, et autres
Publié: (2026)

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
par: Ahmadi, Ehsan, et autres
Publié: (2024)

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
par: Qin, Xue, et autres
Publié: (2026)

Failure Prediction at Runtime for Generative Robot Policies
par: Römer, Ralf, et autres
Publié: (2025)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
par: Agia, Christopher, et autres
Publié: (2024)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
par: Gasparino, Mateus Valverde, et autres
Publié: (2024)

The Shortcomings of Force-from-Motion in Robot Learning
par: Aljalbout, Elie, et autres
Publié: (2024)

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
par: Ai, Bo, et autres
Publié: (2024)

The State of Robot Motion Generation
par: Bekris, Kostas E., et autres
Publié: (2024)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
par: Wang, Zizhao, et autres
Publié: (2024)

An Automatic Ground Collision Avoidance System with Reinforcement Learning
par: Sevgili, Seyyid Osman, et autres
Publié: (2026)

Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision
par: Iscan, Mehmet, et autres
Publié: (2026)

The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
par: Aljalbout, Elie, et autres
Publié: (2025)

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
par: Attolino, Nicholas, et autres
Publié: (2025)

Cost-Aware Diffusion Active Search
par: Banerjee, Arundhati, et autres
Publié: (2026)