Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1206.4621
Cited By
Path Integral Policy Improvement with Covariance Matrix Adaptation
International Conference on Machine Learning (ICML), 2012
18 June 2012
F. Stulp
Olivier Sigaud
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Path Integral Policy Improvement with Covariance Matrix Adaptation"
49 / 49 papers shown
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
Yi Ma
Hongyao Tang
Chenjun Xiao
Yaodong Yang
Wei Wei
Jianye Hao
Jiye Liang
OffRL
222
0
0
05 Aug 2025
An Introduction to Zero-Order Optimization Techniques for Robotics
Armand Jordana
J. Zhang
Joseph Amigo
Ludovic Righetti
179
6
0
27 Jun 2025
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection
Arpit Bahety
Priyanka Mandikal
Ben Abbatematteo
Roberto Martín-Martín
324
30
0
06 May 2024
Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Yingbai Hu
Fares J. Abu-Dakka
Fei Chen
Xiao Luo
Zheng Li
Alois C. Knoll
Weiping Ding
AI4CE
239
14
0
29 Mar 2024
On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Giulio Turrisi
Valerio Modugno
Lorenzo Amatucci
Dimitrios Kanoulas
Claudio Semini
292
14
0
18 Mar 2024
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
Zhaohan Feng
Jie Chen
Wei Xiao
Jian Sun
Bin Xin
Gang Wang
329
6
0
18 Jan 2024
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Annual Reviews in Control (ARC), 2023
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
308
36
0
22 Sep 2023
MP3: Movement Primitive-Based (Re-)Planning Policy
Fabian Otto
Hongyi Zhou
Onur Celik
Ge Li
Rudolf Lioutikov
Gerhard Neumann
312
9
0
22 Jun 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas
H. Khadilkar
138
0
0
10 May 2023
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search
Onur Berk Töre
Farzin Negahbani
Barış Akgün
141
1
0
19 Jan 2023
Deep Black-Box Reinforcement Learning with Movement Primitives
Conference on Robot Learning (CoRL), 2022
Fabian Otto
Onur Celik
Hongyi Zhou
Hanna Ziesche
Ngo Anh Vien
Gerhard Neumann
OffRL
245
26
0
18 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Mehrdad Tavassoli
S. Katyara
Maria Pozzi
Nikhil Deshpande
D. Caldwell
D. Prattichizzo
361
19
0
14 Oct 2022
A Scalable Finite Difference Method for Deep Reinforcement Learning
Matthew Allen
John C. Raisbeck
Hakho Lee
195
0
0
14 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Conference on Robot Learning (CoRL), 2022
Joe Watson
Jan Peters
254
22
0
07 Oct 2022
Probabilistic Control and Majorization of Optimal Control
Tom Lefebvre
369
2
0
06 May 2022
Policy Search for Model Predictive Control with Application to Agile Drone Flight
Yunlong Song
Davide Scaramuzza
358
110
0
07 Dec 2021
Guided Policy Search for Parameterized Skills using Adverbs
Benjamin A. Spiegel
George Konidaris
172
2
0
23 Oct 2021
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation
Tom Lefebvre
Guillaume Crevecoeur
206
6
0
06 Oct 2021
FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion
Tianyu Li
Jungdam Won
Sehoon Ha
Akshara Rai
235
14
0
27 Sep 2021
Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning
Yufeng Zhang
Shuai Li
Karen J. Nolan
D. Zanotto
83
10
0
05 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
323
101
0
01 Sep 2021
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
Conference on Robot Learning (CoRL), 2021
M. Bhardwaj
Balakumar Sundaralingam
Arsalan Mousavian
Nathan D. Ratliff
Dieter Fox
Fabio Ramos
Byron Boots
334
147
0
28 Apr 2021
Derivative-Free Reinforcement Learning: A Review
Hong Qian
Yang Yu
OffRL
299
47
0
10 Feb 2021
Bootstrapping Motor Skill Learning with Motion Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ben Abbatematteo
Eric Rosen
Stefanie Tellex
George Konidaris
SSL
215
9
0
12 Jan 2021
Cooperative Heterogeneous Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Han Zheng
Pengfei Wei
Jing Jiang
Guodong Long
Qinghua Lu
Chengqi Zhang
189
17
0
02 Nov 2020
Cooperative Path Integral Control for Stochastic Multi-Agent Systems
Neng Wan
Aditya Gahlawat
N. Hovakimyan
Evangelos A. Theodorou
P. Voulgaris
147
15
0
30 Sep 2020
Learning High-Level Policies for Model Predictive Control
Yunlong Song
Davide Scaramuzza
213
36
0
20 Jul 2020
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
Giovanni Sutanto
Katharina Rombach
Yevgen Chebotar
Zhe Su
S. Schaal
Gaurav Sukhatme
Franziska Meier
203
5
0
29 Jun 2020
The Differentiable Cross-Entropy Method
International Conference on Machine Learning (ICML), 2019
Brandon Amos
Denis Yarats
405
58
0
27 Sep 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control
Longxiang Shi
Shijian Li
LongBing Cao
Long Yang
Gang Zheng
Gang Pan
246
5
0
01 Jul 2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
David H. Brookes
A. Busia
Clara Fannjiang
Kevin Patrick Murphy
Jennifer Listgarten
648
24
0
24 May 2019
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
601
183
0
02 Oct 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods
Aloïs Pourchot
Nicolas Perrin
Olivier Sigaud
167
14
0
17 Aug 2018
Policy Search in Continuous Action Domains: an Overview
Neural Networks (NN), 2018
Olivier Sigaud
F. Stulp
322
76
0
13 Mar 2018
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks
Xiao Li
Yao Ma
C. Belta
179
61
0
27 Sep 2017
Mirror Descent Search and its Acceleration
Megumi Miyashita
S. Yano
T. Kondo
133
7
0
08 Sep 2017
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
450
349
0
07 Jul 2017
Variational Policy for Guiding Point Processes
International Conference on Machine Learning (ICML), 2017
Yichen Wang
Grady Williams
Evangelos Theodorou
Le Song
294
23
0
30 Jan 2017
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans
International Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2016
Anna Lukina
Lukas Esterle
Christian Hirsch
E. Bartocci
Junxing Yang
A. Tiwari
S. Smolka
Radu Grosu
75
22
0
21 Dec 2016
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions
Chris Paxton
Felix Jonathan
Marin Kobilarov
Gregory Hager
156
21
0
05 Dec 2016
Path Integral Guided Policy Search
Yevgen Chebotar
Mrinal Kalakrishnan
Ali Yahya
A. Li
S. Schaal
Sergey Levine
286
153
0
03 Oct 2016
Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
138
13
0
29 Jun 2016
Towards Robot Task Planning From Probabilistic Models of Human Skills
Chris Paxton
Marin Kobilarov
Gregory Hager
63
1
0
15 Feb 2016
End-to-End Training of Deep Visuomotor Policies
Journal of machine learning research (JMLR), 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
859
3,678
0
02 Apr 2015
Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems
Vicencc Gómez
Sep Thijssen
A. Symington
Stephen Hailes
H. Kappen
433
21
0
16 Feb 2015
Efficient Baseline-free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
International Conference on Artificial Neural Networks (ICANN), 2013
Frank Sehnke
139
3
0
13 Dec 2013
Design for a Darwinian Brain: Part 1. Philosophy and Neuroscience
Chrisantha Fernando
AI4CE
102
4
0
28 Mar 2013
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes
Pierre-Yves Oudeyer
407
452
0
21 Jan 2013
Learning Parameterized Skills
International Conference on Machine Learning (ICML), 2012
Bruno C. da Silva
George Konidaris
A. Barto
315
211
0
27 Jun 2012
1
Page 1 of 1
