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How Transferable are the Representations Learned by Deep Q Agents?

How Transferable are the Representations Learned by Deep Q Agents?

24 February 2020
Jacob Tyo
Zachary Chase Lipton
    OffRL
ArXiv (abs)PDFHTML

Papers citing "How Transferable are the Representations Learned by Deep Q Agents?"

5 / 5 papers shown
Uncertainty-aware transfer across tasks using hybrid model-based
  successor feature reinforcement learning
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh
Ming Hou
Konstantinos N. Plataniotis
314
1
0
16 Oct 2023
Investigating the Properties of Neural Network Representations in
  Reinforcement Learning
Investigating the Properties of Neural Network Representations in Reinforcement LearningArtificial Intelligence (AIJ), 2022
Zheng Chen
Erfan Miahi
Martha White
Marlos C. Machado
Zaheer Abbas
Raksha Kumaraswamy
Vincent Liu
Adam White
373
37
0
30 Mar 2022
Component Transfer Learning for Deep RL Based on Abstract
  Representations
Component Transfer Learning for Deep RL Based on Abstract Representations
Geoffrey van Driessel
Vincent François-Lavet
DRLOffRL
135
7
0
22 Nov 2021
On The Transferability of Deep-Q Networks
On The Transferability of Deep-Q Networks
M. Sabatelli
Pierre Geurts
287
4
0
06 Oct 2021
State Action Separable Reinforcement Learning
State Action Separable Reinforcement Learning
Ziyao Zhang
Liang Ma
K. Leung
Konstantinos Poularakis
Mudhakar Srivatsa
152
3
0
05 Jun 2020
1
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