skrl: Modular and Flexible Library for Reinforcement Learning

skrl: Modular and Flexible Library for Reinforcement Learning

8 February 2022

Antonio Serrano-Muñoz

D. Chrysostomou

N. Arana-Arexolaleiba

Papers citing "skrl: Modular and Flexible Library for Reinforcement Learning"

11 / 11 papers shown

Title
LineFlow: A Framework to Learn Active Control of Production Lines Kai Müller Martin Wenzel Tobias Windisch AI4CE 26 0 0 10 May 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 147 0 0 16 Apr 2025
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks Timon Sachweh Pierre Haritz Thomas Liebig 20 0 0 05 Jul 2024
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments Mikel Malagón Josu Ceberio Jose A. Lozano 52 0 0 04 Jul 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao Chien Feng Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee 41 1 0 22 May 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library Wenzhang Liu Wenzhe Cai Kun Jiang Guangran Cheng Yuanda Wang Changyin Sun Jingyu Cao Lele Xu Chaoxu Mu Changyin Sun 36 4 0 25 Dec 2023
Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover Anton Bjorndahl Mortensen Emil Tribler Pedersen Laia Vives Benedicto Lionel Burg Mads Rossen Madsen Simon Boegh 17 0 0 22 Sep 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 14 0 31 Jul 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou Cyrus Neary Ufuk Topcu DiffM 24 8 0 10 Jun 2023
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control Jonas Eschmann Dario Albani Giuseppe Loianno OffRL 34 5 0 06 Jun 2023