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Combining Model-Based and Model-Free Updates for Trajectory-Centric
  Reinforcement Learning

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning

8 March 2017
Yevgen Chebotar
Karol Hausman
Marvin Zhang
Gaurav Sukhatme
S. Schaal
Sergey Levine
ArXivPDFHTML

Papers citing "Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning"

31 / 31 papers shown
Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
Yongshuai Liu
Xin Liu
95
1
0
26 Mar 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
80
2
0
04 Feb 2025
Optimal Control of Nonlinear Systems with Unknown Dynamics
Optimal Control of Nonlinear Systems with Unknown Dynamics
Wenjian Hao
Paulo C. Heredia
Shaoshuai Mou
42
1
0
24 May 2023
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian
  Interactions using Reinforcement Learning
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
Qiming Ye
Yuxiang Feng
Jose Javier Escribano Macias
M. Stettler
Panagiotis Angeloudis
23
4
0
22 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
59
17
0
02 Mar 2023
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills
  using a Quadrupedal Robot
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
Yandong Ji
Zhongyu Li
Yinan Sun
Xue Bin Peng
Sergey Levine
Glen Berseth
Koushil Sreenath
39
63
0
01 Aug 2022
Safe Learning-Based Feedback Linearization Tracking Control for
  Nonlinear System with Event-Triggered Model Update
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update
Zhixuan Wu
Ruicong Yang
Lei Zheng
Hui Cheng
41
12
0
07 Mar 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
60
26
0
17 Dec 2021
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal
  Graphs
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs
Peng Zhou
Omar Zahra
Anqing Duan
Shengzeng Huo
Zeyu Wu
D. Navarro-Alarcon
26
4
0
16 Oct 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
27
27
0
27 Jul 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
28
78
0
25 Jun 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with
  Deep Reinforcement Learning
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
A. S. Morgan
Daljeet Nandha
Georgia Chalvatzaki
Carlo DÉramo
A. Dollar
Jan Peters
48
43
0
25 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
517
0
04 Feb 2021
Novelty Search in Representational Space for Sample Efficient
  Exploration
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao
Vincent François-Lavet
Joelle Pineau
30
43
0
28 Sep 2020
Control as Hybrid Inference
Control as Hybrid Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
19
9
0
11 Jul 2020
Robotic Arm Control and Task Training through Deep Reinforcement
  Learning
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Andrea Franceschetti
E. Tosello
Nicola Castaman
Stefano Ghidoni
8
32
0
06 May 2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning
Shidi Li
18
6
0
15 Mar 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human
  Videos
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
41
156
0
10 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
101
1,132
0
24 Oct 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based
  Regularization
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
Sumeet Singh
Spencer M. Richards
Vikas Sindhwani
Jean-Jacques E. Slotine
Marco Pavone
37
74
0
29 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
38
356
0
06 Jul 2019
Learning to Interactively Learn and Assist
Learning to Interactively Learn and Assist
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
33
0
24 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the
  Art and Perspectives
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives
Alexander Fabisch
Christoph Petzoldt
M. Otto
Frank Kirchner
AI4CE
15
13
0
05 Jun 2019
Autonomous Tissue Manipulation via Surgical Robot Using Learning Based
  Model Predictive Control
Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control
Changyeob Shin
P. Ferguson
Sahba Aghajani Pedram
Ji Ma
E. Dutson
J. Rosen
14
92
0
04 Feb 2019
Accelerating Goal-Directed Reinforcement Learning by Model
  Characterization
Accelerating Goal-Directed Reinforcement Learning by Model Characterization
Shoubhik Debnath
Gaurav Sukhatme
Lantao Liu
13
3
0
04 Jan 2019
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for
  Model-based Control
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Xingxing Liang
Qi Wang
Yanghe Feng
Zhong Liu
Jincai Huang
29
5
0
24 Dec 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement
  Learning
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
Sharad Vikram
Laura M. Smith
Pieter Abbeel
Matthew J. Johnson
Sergey Levine
OffRL
23
41
0
28 Aug 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement
  Learning
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic
James Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
OffRL
32
57
0
16 Jun 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
35
20
0
19 Mar 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr H. Pong
S. Gu
Murtaza Dalal
Sergey Levine
OffRL
66
238
0
25 Feb 2018
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
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