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Investigating the Properties of Neural Network Representations in
  Reinforcement Learning

Investigating the Properties of Neural Network Representations in Reinforcement Learning

30 March 2022
Han Wang
Erfan Miahi
Martha White
Marlos C. Machado
Zaheer Abbas
Raksha Kumaraswamy
Vincent Liu
Adam White
ArXivPDFHTML

Papers citing "Investigating the Properties of Neural Network Representations in Reinforcement Learning"

11 / 11 papers shown
Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
Pablo Samuel Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
56
0
0
08 Mar 2025
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük
A. R. Koblitz
Atefeh Mohajeri
M. Andrews
OffRL
40
0
0
19 Sep 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for
  Vision-Oriented Decision-Making Applications
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications
Dayang Liang
Jinyang Lai
Yunlong Liu
33
0
0
30 May 2024
Multi-Task Reinforcement Learning in Continuous Control with Successor
  Feature-Based Concurrent Composition
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition
Y. Liu
Aamir Ahmad
29
4
0
24 Mar 2023
Auxiliary task discovery through generate-and-test
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee
Sina Ghiassian
Jun Jin
R. Sutton
Jun Luo
Adam White
21
0
0
25 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Andrei A. Rusu
Sebastian Flennerhag
Dushyant Rao
Razvan Pascanu
R. Hadsell
34
6
0
22 Oct 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
43
6
0
22 Sep 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
37
140
0
15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
27
31
0
10 Jun 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
1