:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ji, Luo, Lin, Runji
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	https://arxiv.org/abs/2409.07341
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RouteFormer: A Transformer-Based Routing Framework for Autonomous Vehicles
by: Youssef, Yazan, et al.
Published: (2025)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
by: Akgün, Orhan Eren, et al.
Published: (2024)

A New Perspective on Transformers in Online Reinforcement Learning for Continuous Control
by: Kachaev, Nikita, et al.
Published: (2025)

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
by: Yuan, Yifu, et al.
Published: (2025)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
by: Zhang, Yi, et al.
Published: (2025)

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own
by: Ye, Weirui, et al.
Published: (2023)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
by: Li, Manling, et al.
Published: (2024)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
by: Xiong, Heng, et al.
Published: (2024)

Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
by: Mao, Yiting, et al.
Published: (2025)

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2025)

Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
by: Xie, Quanting, et al.
Published: (2024)

Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner
by: Polubarov, Andrei, et al.
Published: (2026)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
by: Wang, Yucen, et al.
Published: (2025)

Online Training and Pruning of Deep Reinforcement Learning Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
by: Pathare, Deepthi, et al.
Published: (2024)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
by: Tomilin, Tristan, et al.
Published: (2025)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)

cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
by: Yang, Tao, et al.
Published: (2024)

Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
by: Dong, Shihao, et al.
Published: (2026)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)

Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)

RigidFormer: Learning Rigid Dynamics using Transformers
by: Dou, Zhiyang, et al.
Published: (2026)

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
by: Yin, Huilin, et al.
Published: (2024)

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning
by: Omura, Motoki, et al.
Published: (2025)

Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
by: Liu, Jingyi, et al.
Published: (2026)

Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
by: Aktas, Hakan, et al.
Published: (2024)

Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
by: Luo, Baiting, et al.
Published: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Embodied Red Teaming for Auditing Robotic Foundation Models
by: Karnik, Sathwik, et al.
Published: (2024)

Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)

Target Return Optimizer for Multi-Game Decision Transformer
by: Tatematsu, Kensuke, et al.
Published: (2025)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

Performance Asymmetry in Model-Based Reinforcement Learning
by: Lim, Jing Yu, et al.
Published: (2025)