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Control-Aware Representations for Model-based Reinforcement Learning

Control-Aware Representations for Model-based Reinforcement Learning

24 June 2020
Brandon Cui
Yinlam Chow
Mohammad Ghavamzadeh
    BDL
ArXivPDFHTML

Papers citing "Control-Aware Representations for Model-based Reinforcement Learning"

16 / 16 papers shown
Title
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
85
8
0
06 Mar 2024
Variational Model-based Policy Optimization
Variational Model-based Policy Optimization
Yinlam Chow
Brandon Cui
Moonkyung Ryu
Mohammad Ghavamzadeh
OffRL
40
12
0
09 Jun 2020
Predictive Coding for Locally-Linear Control
Predictive Coding for Locally-Linear Control
Rui Shu
Tung D. Nguyen
Yinlam Chow
Tu Pham
Khoat Than
Mohammad Ghavamzadeh
Stefano Ermon
Hung Bui
OffRL
BDL
67
24
0
02 Mar 2020
Policy-Aware Model Learning for Policy Gradient Methods
Policy-Aware Model Learning for Policy Gradient Methods
Romina Abachi
Mohammad Ghavamzadeh
Amir-massoud Farahmand
41
35
0
28 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
97
1,333
0
03 Dec 2019
Prediction, Consistency, Curvature: Representation Learning for
  Locally-Linear Control
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
Nir Levine
Yinlam Chow
Rui Shu
Ang Li
Mohammad Ghavamzadeh
Hung Bui
19
30
0
04 Sep 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
55
939
0
19 Jun 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
87
383
0
03 Dec 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
222
8,236
0
04 Jan 2018
Robust Locally-Linear Controllable Embedding
Robust Locally-Linear Controllable Embedding
Ershad Banijamali
Rui Shu
Mohammad Ghavamzadeh
Hung Bui
A. Ghodsi
BDL
48
93
0
15 Oct 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
50
839
0
24 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
245
6,722
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
850
149,474
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
103
12,163
0
19 Dec 2013
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