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Generalization of Reinforcement Learners with Working and Episodic
  Memory

Generalization of Reinforcement Learners with Working and Episodic Memory

29 October 2019
Meire Fortunato
Melissa Tan
Ryan Faulkner
S. Hansen
Adria Puigdomenech Badia
Gavin Buttimore
Charlie Deck
Joel Z Leibo
Charles Blundell
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Papers citing "Generalization of Reinforcement Learners with Working and Episodic Memory"

16 / 16 papers shown
Title
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
78
1
0
20 Feb 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down
  Maps
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
Linfeng Zhao
Lawson L. S. Wong
79
1
0
16 Dec 2024
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
40
9
0
26 Sep 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A. Chiappa
Alessandro Marin Vargas
Alexander Mathis
34
7
0
28 Sep 2022
Extended Intelligence
Extended Intelligence
D. Barack
Andrew Jaegle
33
5
0
15 Sep 2022
Transformers are Meta-Reinforcement Learners
Transformers are Meta-Reinforcement Learners
L. Melo
OffRL
38
50
0
14 Jun 2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy
  Optimization
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization
Marco Pleines
Matthias Pallasch
F. Zimmer
Mike Preuss
23
13
0
23 May 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
32
53
0
17 Feb 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement
  Learning
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
31
9
0
06 Dec 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le
Thommen George Karimpanal
Majid Abdolshah
T. Tran
Svetha Venkatesh
17
19
0
03 Nov 2021
CoBERL: Contrastive BERT for Reinforcement Learning
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
30
36
0
12 Jul 2021
Towards mental time travel: a hierarchical memory for reinforcement
  learning agents
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Andrea Banino
Felix Hill
24
47
0
28 May 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor Webb
I. Sinha
J. Cohen
67
64
0
29 Dec 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
15
34
0
20 Oct 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
13
509
0
30 Mar 2020
1