Cover Image

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ellendula, Aditya Sai, Wang, Yi, Nguyen, Minh, Bajaj, Chandrajit
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
by: Ellendula, Aditya Sai, et al.
Published: (2026)

Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation
by: Ellendula, Aditya S, et al.
Published: (2025)

A Differential and Pointwise Control Approach to Reinforcement Learning
by: Nguyen, Minh, et al.
Published: (2024)

Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
by: Bajaj, Chandrajit, et al.
Published: (2024)

When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
by: Wang, Yi, et al.
Published: (2026)

Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
by: McLennan, Luke, et al.
Published: (2025)

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

Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
by: Bajaj, Chandrajit, et al.
Published: (2022)

Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning
by: Bajaj, Chandrajit, et al.
Published: (2024)

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

PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
by: Bhardwaj, Shubham, 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)

Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit
by: Mari, Zamirddine, 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)

Physics-informed neural networks via stochastic Hamiltonian dynamics learning
by: Bajaj, Chandrajit, et al.
Published: (2021)

Sample Efficient Learning of Factored Embeddings of Tensor Fields
by: Heo, Taemin, et al.
Published: (2022)

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
by: Theile, Mirco, et al.
Published: (2024)

Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown Environments
by: Mohammad, Nicholas, et al.
Published: (2025)

Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators
by: Jestel, Christian, et al.
Published: (2026)

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

Scalable Robust Bayesian Co-Clustering with Compositional ELBOs
by: Vinod, Ashwin, et al.
Published: (2025)

Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes
by: Akemoto, Ashten, et al.
Published: (2025)

A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
by: Mohammad, Nicholas, et al.
Published: (2024)

Geometric Preference Elicitation for Minimax Regret Optimization in Uncertainty Matroids
by: Ellendula, Aditya Sai, et al.
Published: (2025)

Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
by: Fernandez, Franklin Cardeñoso, et al.
Published: (2021)

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
by: Li, Tao, et al.
Published: (2023)

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
by: He, Xiaoyi, et al.
Published: (2025)

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

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
by: Bajcsy, Andrea, et al.
Published: (2019)

One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
by: Lin, Albert, et al.
Published: (2024)

Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)

Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
by: Xu, Letian, et al.
Published: (2024)

Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
by: Miranda, Victor R. F., et al.
Published: (2022)

Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation
by: Gao, Jianqi, et al.
Published: (2025)

Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2023)

Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
by: Kotecha, Prakrut, et al.
Published: (2026)

Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
by: Wisniewski, Mariusz, et al.
Published: (2024)

Differentiable Information Enhanced Model-Based Reinforcement Learning
by: Zhang, Xiaoyuan, et al.
Published: (2025)

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