:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hausdörfer, Oliver, von Rohr, Alexander, Lefort, Éric, Schoellig, Angela
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.03246
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Primer on SO(3) Action Representations in Deep Reinforcement Learning
by: Schuck, Martin, et al.
Published: (2025)

scipy.spatial.transform: Differentiable Framework-Agnostic 3D Transformations in Python
by: Schuck, Martin, et al.
Published: (2025)

Diffusion Predictive Control with Constraints
by: Römer, Ralf, et al.
Published: (2024)

PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
by: Han, Chenxi, et al.
Published: (2026)

CRISP -- Compliant ROS2 Controllers for Learning-Based Manipulation Policies and Teleoperation
by: Pro, Daniel San José, et al.
Published: (2025)

Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning
by: Böhm, Peter, et al.
Published: (2025)

LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation
by: Wang, Zhiquan, et al.
Published: (2026)

Variable Stiffness for Robust Locomotion through Reinforcement Learning
by: Spoljaric, Dario, et al.
Published: (2025)

Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning
by: Chen, Yenan, et al.
Published: (2024)

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
by: Coholich, Jeremiah, et al.
Published: (2025)

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
by: Zheng, Ziang, et al.
Published: (2025)

Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion
by: Liu, Shuai, et al.
Published: (2025)

Agent-Driven Autonomous Reinforcement Learning Research: Iterative Policy Improvement for Quadruped Locomotion
by: Khandelwal, Nimesh, et al.
Published: (2026)

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
by: Yang, Ruihan, et al.
Published: (2023)

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

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
by: Li, Zhongyu, et al.
Published: (2024)

Vintix: Action Model via In-Context Reinforcement Learning
by: Polubarov, Andrey, et al.
Published: (2025)

Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree
by: Khosravi, Mahsa, et al.
Published: (2025)

Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain
by: Jin, Fangcheng, et al.
Published: (2025)

Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
by: Botteghi, Nicolò, et al.
Published: (2021)

E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion
by: Yalcin, Enis, et al.
Published: (2025)

Visualizing Latent Phase Structures in Locomotion Policies: A Multi-Environment Study with Temporal Feature Extension
by: Yasui, Daisuke, et al.
Published: (2026)

Uncovering Latent Phase Structures and Branching Logic in Locomotion Policies: A Case Study on HalfCheetah
by: Yasui, Daisuke, et al.
Published: (2026)

Learning Quadruped Locomotion Using Differentiable Simulation
by: Song, Yunlong, et al.
Published: (2024)

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
by: Dou, Jizhe, et al.
Published: (2024)

Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)

SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography
by: Schuck, Martin, et al.
Published: (2024)

Learning to Act Robustly with View-Invariant Latent Actions
by: Jeong, Youngjoon, et al.
Published: (2026)

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
by: Liu, Qi, et al.
Published: (2025)

Flexible Locomotion Learning with Diffusion Model Predictive Control
by: Huang, Runhan, et al.
Published: (2025)

Learning Quadruped Locomotion Policies using Logical Rules
by: DeFazio, David, et al.
Published: (2021)

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)

Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
by: Hose, Henrik, et al.
Published: (2025)

Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior
by: Wu, Yuanye, et al.
Published: (2026)

Behavior Generation with Latent Actions
by: Lee, Seungjae, et al.
Published: (2024)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
by: Acero, Fernando, et al.
Published: (2024)

Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
by: Chen, Zixuan, et al.
Published: (2024)

Learning Terrain-Specialized Policies for Adaptive Locomotion in Challenging Environments
by: Angarola, Matheus P., et al.
Published: (2025)

Pretrained Bayesian Non-parametric Knowledge Prior in Robotic Long-Horizon Reinforcement Learning
by: Meng, Yuan, et al.
Published: (2025)