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2012.06644
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Regularizing Action Policies for Smooth Control with Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2020
11 December 2020
Siddharth Mysore
B. Mabsout
R. Mancuso
Kate Saenko
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Papers citing
"Regularizing Action Policies for Smooth Control with Reinforcement Learning"
43 / 43 papers shown
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Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
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185
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Kohei Matsumoto
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348
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Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
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466
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Ying-Sheng Luo
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298
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Yaoru Sun
Zeshen Tang
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350
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Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
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David Olivares
Pierre Fournier
Pavan Vasishta
Julien Marzat
237
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0
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Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
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Hoang-Giang Cao
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Yu-Cheng Chen
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284
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Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
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Shruti Patel
Christof Büskens
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Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
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Hirotada Hashimoto
151
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Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
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João G. Melo
Cleber Zanchettin
Pedro H. M. Braga
Pedro V. Cunha
Edna N. S. Barros
H. Bassani
120
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Peter Werner
Wilko Schwarting
Markus Wulfmeier
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238
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309
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279
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Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
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J. C. Schoeman
H. W. Jordaan
270
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Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot
Luca Lach
R. Haschke
Davide Tateo
Jan Peters
Helge J. Ritter
Júlia Borràs Sol
Carme Torras
232
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13 Nov 2023
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV
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Beomyeol Yu
Taeyoung Lee
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243
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Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
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Nicolas Gurtler
Felix Widmaier
Cansu Sancaktar
Sebastian Blaes
Pavel Kolev
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Arman Raayatsanati
Hehui Zheng
Barnabas Gavin Cangan
Bernhard Schölkopf
Georg Martius
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256
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15 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
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Nico Gürtler
Sebastian Blaes
Pavel Kolev
Felix Widmaier
Manuel Wüthrich
Stefan Bauer
Bernhard Schölkopf
Georg Martius
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338
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Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning
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Hoang-Giang Cao
I. Lee
Bo-Jiun Hsu
Zheng-Yi Lee
Yu-Wei Shih
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I-Chen Wu
314
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Sim-to-real transfer of active suspension control using deep reinforcement learning
Viktor Wiberg
Erik Wallin
Arvid Fälldin
Tobias Semberg
Morgan Rossander
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Martin Servin
419
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19 Jun 2023
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing
Elena Shrestha
C. Reddy
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Ram Vasudevan
228
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Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies
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Qiang-qiang Wang
Robert McCarthy
David Córdova Bulens
Francisco Roldan Sanchez
Kevin McGuinness
Noel E. O'Connor
S. Redmond
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228
12
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Reinforcement Learning-Based Air Traffic Deconfliction
Denis Osipychev
D. Margineantu
Girish Chowdhary
101
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Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
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Jacopo Panerati
A. Krishnan
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Angela P. Schoellig
229
6
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Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
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286
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Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning
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227
2
0
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Delayed Reinforcement Learning by Imitation
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Davide Maran
L. Bisi
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290
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Deep Residual Reinforcement Learning based Autonomous Blimp Control
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288
20
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Policy Regularization for Legible Behavior
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210
3
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Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante
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Alexis Duburcq
Fabian Schramm
Guilhem Boéris
Nicolas Bredèche
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353
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L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
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165
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Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
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Mathias Lechner
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300
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282
76
0
12 May 2020
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