ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.06350
  4. Cited By
Interference and Generalization in Temporal Difference Learning

Interference and Generalization in Temporal Difference Learning

13 March 2020
Emmanuel Bengio
Joelle Pineau
Doina Precup
ArXivPDFHTML

Papers citing "Interference and Generalization in Temporal Difference Learning"

13 / 13 papers shown
Title
Investigating Generalization Behaviours of Generative Flow Networks
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
33
2
0
07 Feb 2024
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Ghada Sokar
Rishabh Agarwal
Pablo Samuel Castro
Utku Evci
CLL
51
90
0
24 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
50
0
0
04 Feb 2023
Learning to Optimize for Reinforcement Learning
Learning to Optimize for Reinforcement Learning
Qingfeng Lan
Rupam Mahmood
Shuicheng Yan
Zhongwen Xu
OffRL
36
6
0
03 Feb 2023
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
24
17
0
20 Nov 2022
Learning Dynamics and Generalization in Reinforcement Learning
Learning Dynamics and Generalization in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
Marta Z. Kwiatkowska
Y. Gal
OOD
OffRL
30
12
0
05 Jun 2022
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Rameswar Panda
OnRL
96
181
0
16 May 2022
Generative Flow Networks for Discrete Probabilistic Modeling
Generative Flow Networks for Discrete Probabilistic Modeling
Dinghuai Zhang
Nikolay Malkin
Zichen Liu
Alexandra Volokhova
Aaron Courville
Yoshua Bengio
22
103
0
03 Feb 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit
  Regularization
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
31
65
0
09 Dec 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski
Pablo Samuel Castro
Will Dabney
OffRL
19
57
0
26 Oct 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
40
312
0
08 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
  Perspective
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
24
53
0
11 May 2021
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
2,892
0
15 Sep 2016
1