Learning Dynamic Cognitive Map with Autonomous Navigation
Fuente:
arXiv
Saved in:
| Main Authors: | de Tinguy, Daria, Verbelen, Tim, Dhoedt, Bart |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring and Learning Structure: Active Inference Approach in Navigational Agents
by: de Tinguy, Daria, et al.
Published: (2024)
by: de Tinguy, Daria, et al.
Published: (2024)
Navigation and Exploration with Active Inference: from Biology to Industry
by: de Tinguy, Daria, et al.
Published: (2025)
by: de Tinguy, Daria, et al.
Published: (2025)
Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics
by: de Tinguy, Daria, et al.
Published: (2025)
by: de Tinguy, Daria, et al.
Published: (2025)
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment
by: de Tinguy, Daria, et al.
Published: (2023)
by: de Tinguy, Daria, et al.
Published: (2023)
GenRL: Multimodal-foundation world models for generalization in embodied agents
by: Mazzaglia, Pietro, et al.
Published: (2024)
by: Mazzaglia, Pietro, et al.
Published: (2024)
Online Structure Learning and Planning for Autonomous Robot Navigation using Active Inference
by: de tinguy, Daria, et al.
Published: (2025)
by: de tinguy, Daria, et al.
Published: (2025)
Choreographer: Learning and Adapting Skills in Imagination
by: Mazzaglia, Pietro, et al.
Published: (2022)
by: Mazzaglia, Pietro, et al.
Published: (2022)
Representing Positional Information in Generative World Models for Object Manipulation
by: Ferraro, Stefano, et al.
Published: (2024)
by: Ferraro, Stefano, et al.
Published: (2024)
Contrastive Active Inference
by: Mazzaglia, Pietro, et al.
Published: (2021)
by: Mazzaglia, Pietro, et al.
Published: (2021)
Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
by: He, Xiaoyi, et al.
Published: (2025)
by: He, Xiaoyi, et al.
Published: (2025)
Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)
by: Wang, Zixiang, et al.
Published: (2024)
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
by: Johnsen, Tim, et al.
Published: (2024)
by: Johnsen, Tim, et al.
Published: (2024)
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
by: Liu, Yi-Ling, et al.
Published: (2026)
by: Liu, Yi-Ling, et al.
Published: (2026)
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
by: Li, Keyu, et al.
Published: (2021)
by: Li, Keyu, et al.
Published: (2021)
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
by: Zhao, Linfeng, et al.
Published: (2024)
by: Zhao, Linfeng, et al.
Published: (2024)
Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery
by: Houbre, Quentin, et al.
Published: (2024)
by: Houbre, Quentin, et al.
Published: (2024)
Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
by: Du, Jiayuan, et al.
Published: (2026)
by: Du, Jiayuan, et al.
Published: (2026)
Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
by: Tayar, Marco S., et al.
Published: (2025)
by: Tayar, Marco S., et al.
Published: (2025)
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
by: Wang, Jingyi, et al.
Published: (2025)
by: Wang, Jingyi, et al.
Published: (2025)
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)
by: Su, Wensheng, et al.
Published: (2024)
Learning World Models for Unconstrained Goal Navigation
by: Duan, Yuanlin, et al.
Published: (2024)
by: Duan, Yuanlin, et al.
Published: (2024)
Reinforcement Learning for Ballbot Navigation in Uneven Terrain
by: Salehi, Achkan
Published: (2025)
by: Salehi, Achkan
Published: (2025)
Learning Inverse Kinodynamics for Autonomous Vehicle Drifting
by: Suvarna, M., et al.
Published: (2024)
by: Suvarna, M., et al.
Published: (2024)
Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
by: Canesse, Alexi, et al.
Published: (2024)
by: Canesse, Alexi, et al.
Published: (2024)
Learning Autonomy: Off-Road Navigation Enhanced by Human Input
by: Nagariya, Akhil, et al.
Published: (2025)
by: Nagariya, Akhil, et al.
Published: (2025)
Learning-based Autonomous Oversteer Control and Collision Avoidance
by: Lee, Seokjun, et al.
Published: (2025)
by: Lee, Seokjun, et al.
Published: (2025)
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)
by: Uppuluri, Bhargava, et al.
Published: (2025)
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
by: Liu, Shuijing, et al.
Published: (2020)
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)
by: Kolomeytsev, Yury, et al.
Published: (2025)
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
by: Golchoubian, Mahsa, et al.
Published: (2024)
by: Golchoubian, Mahsa, et al.
Published: (2024)
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
by: Li, Keyu, et al.
Published: (2021)
by: Li, Keyu, et al.
Published: (2021)
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
by: Wang, Jin, et al.
Published: (2024)
by: Wang, Jin, et al.
Published: (2024)
Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing
by: Tomita, Kento, et al.
Published: (2021)
by: Tomita, Kento, et al.
Published: (2021)
V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)
by: Charraut, Valentin, et al.
Published: (2025)
Innate-Values-driven Reinforcement Learning based Cognitive Modeling
by: Yang, Qin
Published: (2024)
by: Yang, Qin
Published: (2024)
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
by: Pasricha, Sudeep
Published: (2024)
by: Pasricha, Sudeep
Published: (2024)
Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
by: Kolomeytsev, Yury, et al.
Published: (2024)
by: Kolomeytsev, Yury, et al.
Published: (2024)
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)
by: Patel, Bhrij, et al.
Published: (2023)
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
by: Orsula, Andrej, et al.
Published: (2024)
by: Orsula, Andrej, et al.
Published: (2024)
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)
by: Abouelazm, Ahmed, et al.
Published: (2024)
Similar Items
-
Exploring and Learning Structure: Active Inference Approach in Navigational Agents
by: de Tinguy, Daria, et al.
Published: (2024) -
Navigation and Exploration with Active Inference: from Biology to Industry
by: de Tinguy, Daria, et al.
Published: (2025) -
Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics
by: de Tinguy, Daria, et al.
Published: (2025) -
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment
by: de Tinguy, Daria, et al.
Published: (2023) -
GenRL: Multimodal-foundation world models for generalization in embodied agents
by: Mazzaglia, Pietro, et al.
Published: (2024)