Cover Image

Learning World Models for Unconstrained Goal Navigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duan, Yuanlin, Mao, Wensen, Zhu, He
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
by: Duan, Yuanlin, et al.
Published: (2024)

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

Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
by: Yokozawa, Riko, et al.
Published: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

GRAIL: Goal Recognition Alignment through Imitation Learning
by: Elhadad, Osher, et al.
Published: (2026)

Semantic World Models
by: Berg, Jacob, et al.
Published: (2025)

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

Navigation World Models
by: Bar, Amir, et al.
Published: (2024)

Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery
by: Houbre, Quentin, et al.
Published: (2024)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)

Learning Dynamic Cognitive Map with Autonomous Navigation
by: de Tinguy, Daria, et al.
Published: (2024)

Reinforcement Learning for Ballbot Navigation in Uneven Terrain
by: Salehi, Achkan
Published: (2025)

Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
by: Spieler, Jonathan, et al.
Published: (2026)

DreamGen: Unlocking Generalization in Robot Learning through Video World Models
by: Jang, Joel, et al.
Published: (2025)

Adapting World Models with Latent-State Dynamics Residuals
by: Lanier, JB, et al.
Published: (2025)

Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
by: Pappalardo, Octavio
Published: (2026)

Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
by: Guillen-Perez, Antonio
Published: (2025)

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

Reconciling Spatial and Temporal Abstractions for Goal Representation
by: Zadem, Mehdi, et al.
Published: (2024)

Goal Inference from Open-Ended Dialog
by: Ma, Rachel, et al.
Published: (2024)

A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites
by: Liu, Bofei, et al.
Published: (2025)

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
by: Canesse, Alexi, et al.
Published: (2024)

Learning Autonomy: Off-Road Navigation Enhanced by Human Input
by: Nagariya, Akhil, et al.
Published: (2025)

Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
by: Pandaram, Muthukumar, et al.
Published: (2025)

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
by: Mereu, Riccardo, et al.
Published: (2025)

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
by: Liu, Yi-Ling, et al.
Published: (2026)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
by: Liu, Shuijing, et al.
Published: (2020)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
by: Zhu, Chuning, et al.
Published: (2025)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
by: Turcato, Niccolò, et al.
Published: (2025)

WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
by: Kim, Mintae, et al.
Published: (2026)

Learning to Play Piano in the Real World
by: Zeulner, Yves-Simon, et al.
Published: (2025)

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
by: Li, Keyu, et al.
Published: (2021)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)

Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)

Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
by: Zhao, Linfeng, et al.
Published: (2024)

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
by: Pasricha, Sudeep
Published: (2024)

Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
by: Kolomeytsev, Yury, et al.
Published: (2024)