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Value Gradient weighted Model-Based Reinforcement Learning

Value Gradient weighted Model-Based Reinforcement Learning

4 April 2022
C. Voelcker
Victor Liao
Animesh Garg
Amir-massoud Farahmand
ArXivPDFHTML

Papers citing "Value Gradient weighted Model-Based Reinforcement Learning"

11 / 11 papers shown
Title
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
41
1
0
11 Oct 2024
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and
  Online LQR
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR
Jaeuk Shin
Giho Kim
Howon Lee
Joonho Han
Insoon Yang
OffRL
33
1
0
09 Dec 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
34
9
0
29 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning
  via Transition Occupancy Matching
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Yecheng Jason Ma
K. Sivakumar
Jason Yan
Osbert Bastani
Dinesh Jayaraman
OffRL
MU
29
6
0
22 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive Load
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
34
8
0
05 May 2023
Operator Splitting Value Iteration
Operator Splitting Value Iteration
Amin Rakhsha
Andrew Wang
Mohammad Ghavamzadeh
Amir-massoud Farahmand
OffRL
33
7
0
25 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement
  Learning
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
31
4
0
30 Oct 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck
Carla P. Gomes
Kilian Q. Weinberger
65
23
0
21 Oct 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
57
26
0
29 Sep 2021
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
137
101
0
07 Jan 2021
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