Regularizing Action Policies for Smooth Control with Reinforcement
Learning

Regularizing Action Policies for Smooth Control with Reinforcement Learning

11 December 2020

Siddharth Mysore

Papers citing "Regularizing Action Policies for Smooth Control with Reinforcement Learning"

19 / 19 papers shown

Title
Action Tokenizer Matters in In-Context Imitation Learning An Vuong M. Vu Dong An Ian Reid 61 1 0 03 Mar 2025
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning Zikang Yin CanLun Zheng Shiliang Guo Zhenting Wang Shiyu Zhao 79 0 0 03 Mar 2025
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 32 0 0 12 Oct 2024
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework Xibo Li Shruti Patel Christof Büskens 46 2 0 01 Jul 2024
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology Pierre Schumacher Lorenz Krause Jan Schneider-Barnes Le Chen Georg Martius Daniel Haeufle 28 0 0 08 Feb 2024
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World Nicolas Gurtler Felix Widmaier Cansu Sancaktar Sebastian Blaes Pavel Kolev ... Arman Raayatsanati Hehui Zheng Barnabas Gavin Cangan Bernhard Schölkopf Georg Martius OffRL 35 2 0 15 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 33 28 0 28 Jul 2023
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning Hoang-Giang Cao I. Lee Bo-Jiun Hsu Zheng-Yi Lee Yu-Wei Shih Hsueh-Cheng Wang I-Chen Wu 27 2 0 17 Jul 2023
Reinforcement Learning-Based Air Traffic Deconfliction Denis Osipychev D. Margineantu Girish Chowdhary 29 1 0 05 Jan 2023
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 22 6 0 27 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 26 15 0 07 Oct 2022
Deep Residual Reinforcement Learning based Autonomous Blimp Control Y. Liu Eric Price Michael J. Black Aamir Ahmad AI4CE 18 11 0 10 Mar 2022
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante Alexis Duburcq Fabian Schramm Guilhem Boéris Nicolas Bredèche Y. Chevaleyre 32 8 0 02 Mar 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 26 15 0 15 Feb 2022
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments Eivind Bøhn E. M. Coates D. Reinhardt T. Johansen 17 27 0 07 Nov 2021
Autonomous Blimp Control using Deep Reinforcement Learning Y. Liu Eric Price Pascal Goldschmid Michael J. Black Aamir Ahmad AI4CE 32 3 0 22 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 43 9 0 17 Sep 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 38 38 0 08 Mar 2021
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020