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Shallow Updates for Deep Reinforcement Learning

Shallow Updates for Deep Reinforcement Learning

21 May 2017
Nir Levine
Tom Zahavy
D. Mankowitz
Aviv Tamar
Shie Mannor
    OffRL
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Papers citing "Shallow Updates for Deep Reinforcement Learning"

15 / 15 papers shown
Title
Spreeze: High-Throughput Parallel Reinforcement Learning Framework
Spreeze: High-Throughput Parallel Reinforcement Learning Framework
Jing Hou
Guang Chen
Ruiqi Zhang
Zhijun Li
Shangding Gu
Changjun Jiang
OffRL
32
2
0
11 Dec 2023
Towards a Better Understanding of Representation Dynamics under
  TD-learning
Towards a Better Understanding of Representation Dynamics under TD-learning
Yunhao Tang
Rémi Munos
OffRL
31
2
0
29 May 2023
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
36
14
0
20 Nov 2022
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind
  Conditions
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
Michael O'Connell
Guanya Shi
Xichen Shi
Soon-Jo Chung
31
22
0
02 Mar 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
Ofir Nabati
Tom Zahavy
Shie Mannor
27
18
0
07 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
60
73
0
01 Jan 2021
Randomized Policy Learning for Continuous State and Action MDPs
Randomized Policy Learning for Continuous State and Action MDPs
Hiteshi Sharma
Rahul Jain
21
1
0
08 Jun 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
24
35
0
17 Apr 2020
Distributional Robustness and Regularization in Reinforcement Learning
Distributional Robustness and Regularization in Reinforcement Learning
E. Derman
Shie Mannor
27
44
0
05 Mar 2020
How Transferable are the Representations Learned by Deep Q Agents?
How Transferable are the Representations Learned by Deep Q Agents?
Jacob Tyo
Zachary Chase Lipton
OffRL
9
6
0
24 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
43
188
0
23 Dec 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through
  Likelihood Matching
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching
Tom Zahavy
Shie Mannor
HAI
36
30
0
24 Jan 2019
Trust Region Value Optimization using Kalman Filtering
Trust Region Value Optimization using Kalman Filtering
Shirli Di-Castro Shashua
Shie Mannor
19
7
0
23 Jan 2019
A Theoretical Analysis of Deep Q-Learning
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan
Zhuoran Yang
Yuchen Xie
Zhaoran Wang
28
596
0
01 Jan 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,896
0
15 Sep 2016
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