:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Patil, Rohan, Christensen, Henrik I.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Robotics
Online Access:	https://arxiv.org/abs/2604.17137
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
by: Almuzairee, Abdulaziz, et al.
Published: (2025)

Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics
by: Almuzairee, Abdulaziz, et al.
Published: (2026)

A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
by: Almuzairee, Abdulaziz, et al.
Published: (2024)

Randomness is sometimes necessary for coordination
by: Patil, Rohan, et al.
Published: (2026)

Controllable Motion Generation via Diffusion Modal Coupling
by: Wang, Luobin, et al.
Published: (2025)

GHOST: Ground-projected Hypotheses from Observed Structure-from-Motion Trajectories
by: Frelek, Tomasz, et al.
Published: (2026)

Safe Human Robot Navigation in Warehouse Scenario
by: Farrell, Seth, et al.
Published: (2025)

Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
by: Subhasish, Devdutt, et al.
Published: (2026)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
by: Rückin, Julius, et al.
Published: (2023)

Using Temperature Sampling to Effectively Train Robot Learning Policies on Imbalanced Datasets
by: Patil, Basavasagar, et al.
Published: (2025)

Person Detection and Tracking from an Overhead Crane LiDAR
by: Jayawickrama, Nilusha, et al.
Published: (2026)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
by: Bayrooti, Jasmine, et al.
Published: (2024)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
by: Chen, Letian, et al.
Published: (2022)

Transfer Learning for Customized Car Racing Environments
by: Arockiaraj, Benedict Florance, et al.
Published: (2026)

Towards Embodiment Scaling Laws in Robot Locomotion
by: Ai, Bo, et al.
Published: (2025)

Contrast Sets for Evaluating Language-Guided Robot Policies
by: Anwar, Abrar, et al.
Published: (2024)

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
by: Grover, Shresth, et al.
Published: (2025)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
by: Tang, Chen, et al.
Published: (2024)

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
by: Chang, Junwoo, et al.
Published: (2025)

Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach
by: Kalithasan, Namasivayam, et al.
Published: (2024)

How Vulnerable Is My Learned Policy? Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies
by: Kalra, Akansha, et al.
Published: (2025)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
by: Hu, Jia, et al.
Published: (2024)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
by: Dcruz, Julian Gerald, et al.
Published: (2024)

Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
by: Ghani, Saad Abdul, et al.
Published: (2024)

RoboArm-NMP: a Learning Environment for Neural Motion Planning
by: Jurgenson, Tom, et al.
Published: (2024)

Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle Avoidance
by: Hamze, Marwan, et al.
Published: (2024)

Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
by: Khurram, Aleesha, et al.
Published: (2025)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
by: Anvar, Timur, et al.
Published: (2025)

GAMMS: Graph based Adversarial Multiagent Modeling Simulator
by: Patil, Rohan, et al.
Published: (2026)

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

ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges
by: Nguyen, Thien-Minh, et al.
Published: (2024)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
by: Bergmann, Lara, et al.
Published: (2025)

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)

Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
by: Wu, Qizhen, et al.
Published: (2023)

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
by: Kang, Woonsang, et al.
Published: (2025)

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
by: Wang, Jiawei, et al.
Published: (2025)

Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2024)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
by: Jonnarth, Arvi, et al.
Published: (2023)

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments
by: Ellendula, Aditya Sai, et al.
Published: (2025)