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Smooth Exploration for Robotic Reinforcement Learning

Smooth Exploration for Robotic Reinforcement Learning

12 May 2020
Antonin Raffin
Jens Kober
F. Stulp
ArXivPDFHTML

Papers citing "Smooth Exploration for Robotic Reinforcement Learning"

15 / 15 papers shown
Title
Adaptive Data Exploitation in Deep Reinforcement Learning
Adaptive Data Exploitation in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
175
0
0
22 Jan 2025
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
Ge Li
Dong Tian
Hongyi Zhou
Xinkai Jiang
Rudolf Lioutikov
Gerhard Neumann
OffRL
172
3
0
12 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel
H. Siegelmann
OffRL
37
0
0
11 Oct 2024
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Weizheng Wang
Chao Yu
Yu Wang
Byung-Cheol Min
149
2
0
20 Sep 2024
Colored Noise in PPO: Improved Exploration and Performance through
  Correlated Action Sampling
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
Jakob J. Hollenstein
Georg Martius
J. Piater
16
3
0
18 Dec 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin
Olivier Sigaud
Jens Kober
Alin Albu-Schäffer
João Silvério
F. Stulp
32
2
0
09 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola
Paolo Tonella
36
19
0
22 May 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement
  Learning
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
Nick Bührer
Zhejun Zhang
Alexander Liniger
F. I. F. Richard Yu
Luc Van Gool
24
1
0
07 Mar 2023
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with
  Gaussian Processes
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Joe Watson
Jan Peters
26
15
0
07 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A. Chiappa
Alessandro Marin Vargas
Alexander Mathis
31
7
0
28 Sep 2022
Learning to Exploit Elastic Actuators for Quadruped Locomotion
Learning to Exploit Elastic Actuators for Quadruped Locomotion
Antonin Raffin
D. Seidel
Jens Kober
Alin Albu-Schäffer
João Silvério
F. Stulp
18
5
0
15 Sep 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on
  Exploration and Performance
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Jakob J. Hollenstein
Sayantan Auddy
Matteo Saveriano
Erwan Renaudo
J. Piater
31
17
0
08 Jun 2022
Soft Actor-Critic With Integer Actions
Soft Actor-Critic With Integer Actions
Ting-Han Fan
Yubo Wang
28
12
0
17 Sep 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
175
495
0
08 Apr 2018
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