:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dittert, Sebastian, Moens, Vincent, De Fabritiis, Gianni
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2406.17490
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning Potentials: A Roadmap Toward Next-Generation Biomolecular Simulations
by: De Fabritiis, Gianni
Published: (2024)

RSL-RL: A Learning Library for Robotics Research
by: Schwarke, Clemens, et al.
Published: (2025)

Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
by: Ye, Linqi, et al.
Published: (2025)

ACEGEN: Reinforcement learning of generative chemical agents for drug discovery
by: Bou, Albert, et al.
Published: (2024)

Teaching Machine Learning Fundamentals with LEGO Robotics
by: Sydora, Viacheslav, et al.
Published: (2026)

MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics
by: Chu, Shuguang, et al.
Published: (2025)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)

A Lightweight and Transferable Design for Robust LEGO Manipulation
by: Liu, Ruixuan, et al.
Published: (2023)

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
by: Liang, Anthony, et al.
Published: (2024)

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
by: Bhatt, Dwait, et al.
Published: (2026)

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

PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
by: Gyenes, Balázs, et al.
Published: (2024)

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
by: Rafailov, Rafael, et al.
Published: (2024)

Test-Time Training Scaling Laws for Chemical Exploration in Drug Design
by: Thomas, Morgan, et al.
Published: (2025)

XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search
by: Zhang, Yiting, et al.
Published: (2025)

ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
by: Romeo, Carlo, et al.
Published: (2026)

Reinforcement Learning with Lie Group Orientations for Robotics
by: Schuck, Martin, et al.
Published: (2024)

On-Robot Reinforcement Learning with Goal-Contrastive Rewards
by: Biza, Ondrej, et al.
Published: (2024)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)

The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
by: Moroncelli, Angelo, et al.
Published: (2024)

MAexp: A Generic Platform for RL-based Multi-Agent Exploration
by: Zhu, Shaohao, et al.
Published: (2024)

Enhancing Tactile-based Reinforcement Learning for Robotic Control
by: Miller, Elle, et al.
Published: (2025)

Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
by: Fan, Jiale, et al.
Published: (2025)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
by: Tang, Chen, et al.
Published: (2024)

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation
by: Li, Yunfei, et al.
Published: (2025)

DittoGym: Learning to Control Soft Shape-Shifting Robots
by: Huang, Suning, et al.
Published: (2024)

VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
by: Lintunen, Erik M.
Published: (2025)

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

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
by: Amiri, Mohsen, et al.
Published: (2026)

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

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

Assuring the Safety of Reinforcement Learning Components: AMLAS-RL
by: Imrie, Calum Corrie, et al.
Published: (2025)

Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured Review
by: Ter, Kumater, et al.
Published: (2025)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)

Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot
by: Guan, Neil, et al.
Published: (2024)

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
by: Chen, Changan, et al.
Published: (2018)

Toward Global Intent Inference for Human Motion by Inverse Reinforcement Learning
by: Mehrdad, Sarmad, et al.
Published: (2026)

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2023)

Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
by: Plou, Carlos, et al.
Published: (2024)

Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes
by: Cartoni, Emilio, et al.
Published: (2025)