Image de couverture de livre

BOIL: Learning Environment Personalized Information

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Patil, Rohan, Christensen, Henrik I.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
par: Almuzairee, Abdulaziz, et autres
Publié: (2025)

Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics
par: Almuzairee, Abdulaziz, et autres
Publié: (2026)

A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
par: Almuzairee, Abdulaziz, et autres
Publié: (2024)

Randomness is sometimes necessary for coordination
par: Patil, Rohan, et autres
Publié: (2026)

Controllable Motion Generation via Diffusion Modal Coupling
par: Wang, Luobin, et autres
Publié: (2025)

Safe Human Robot Navigation in Warehouse Scenario
par: Farrell, Seth, et autres
Publié: (2025)

GHOST: Ground-projected Hypotheses from Observed Structure-from-Motion Trajectories
par: Frelek, Tomasz, et autres
Publié: (2026)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
par: Rückin, Julius, et autres
Publié: (2023)

Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
par: Subhasish, Devdutt, et autres
Publié: (2026)

Using Temperature Sampling to Effectively Train Robot Learning Policies on Imbalanced Datasets
par: Patil, Basavasagar, et autres
Publié: (2025)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
par: Bayrooti, Jasmine, et autres
Publié: (2024)

Transfer Learning for Customized Car Racing Environments
par: Arockiaraj, Benedict Florance, et autres
Publié: (2026)

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
par: Chang, Junwoo, et autres
Publié: (2025)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
par: Chen, Letian, et autres
Publié: (2022)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
par: Dcruz, Julian Gerald, et autres
Publié: (2024)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
par: Tang, Chen, et autres
Publié: (2024)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
par: Hu, Jia, et autres
Publié: (2024)

Person Detection and Tracking from an Overhead Crane LiDAR
par: Jayawickrama, Nilusha, et autres
Publié: (2026)

Contrast Sets for Evaluating Language-Guided Robot Policies
par: Anwar, Abrar, et autres
Publié: (2024)

Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
par: Ghani, Saad Abdul, et autres
Publié: (2024)

RoboArm-NMP: a Learning Environment for Neural Motion Planning
par: Jurgenson, Tom, et autres
Publié: (2024)

Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle Avoidance
par: Hamze, Marwan, et autres
Publié: (2024)

Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach
par: Kalithasan, Namasivayam, et autres
Publié: (2024)

Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments
par: Zhi, Weiming
Publié: (2024)

ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges
par: Nguyen, Thien-Minh, et autres
Publié: (2024)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
par: Bergmann, Lara, et autres
Publié: (2025)

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
par: Lee, Sang-Hyun, et autres
Publié: (2023)

Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
par: Wu, Qizhen, et autres
Publié: (2023)

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
par: Kang, Woonsang, et autres
Publié: (2025)

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
par: Wang, Jiawei, et autres
Publié: (2025)

Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
par: Khurram, Aleesha, et autres
Publié: (2025)

Towards Embodiment Scaling Laws in Robot Locomotion
par: Ai, Bo, et autres
Publié: (2025)

How Vulnerable Is My Learned Policy? Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies
par: Kalra, Akansha, et autres
Publié: (2025)

Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning
par: Chen, Jiayu, et autres
Publié: (2024)

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments
par: Ellendula, Aditya Sai, et autres
Publié: (2025)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
par: Anvar, Timur, et autres
Publié: (2025)

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
par: Li, Tao, et autres
Publié: (2023)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
par: Jonnarth, Arvi, et autres
Publié: (2023)

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
par: Grover, Shresth, et autres
Publié: (2025)

Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
par: Kalithasan, Namasivayam, et autres
Publié: (2024)