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Model-Free Episodic Control

Model-Free Episodic Control

14 June 2016
Charles Blundell
Benigno Uria
Alexander Pritzel
Yazhe Li
Avraham Ruderman
Joel Z Leibo
Jack W. Rae
Daan Wierstra
Demis Hassabis
    OffRL
    BDL
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Papers citing "Model-Free Episodic Control"

50 / 58 papers shown
Title
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks
Sebastian Barros
AI4TS
36
0
0
06 May 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
Pusen Dong
Tianchen Zhu
Yue Qiu
Haoyi Zhou
Jianxin Li
91
1
0
24 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
99
2
0
22 Jan 2025
Episodic memory in AI agents poses risks that should be studied and mitigated
Episodic memory in AI agents poses risks that should be studied and mitigated
Chad DeChant
70
2
0
20 Jan 2025
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
37
0
0
12 Oct 2024
Natural Language Reinforcement Learning
Natural Language Reinforcement Learning
Xidong Feng
Bo Liu
Mengyue Yang
Ziyan Wang
Girish A. Koushiks
Yali Du
Ying Wen
Jun Wang
OffRL
40
3
0
11 Feb 2024
Cognitive Architectures for Language Agents
Cognitive Architectures for Language Agents
T. Sumers
Shunyu Yao
Karthik Narasimhan
Thomas Griffiths
LLMAG
LM&Ro
61
154
0
05 Sep 2023
Deep Reinforcement Learning with Task-Adaptive Retrieval via
  Hypernetwork
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
Yonggang Jin
Chenxu Wang
Tianyu Zheng
Liuyu Xiang
Yao-Chun Yang
Junge Zhang
Jie Fu
Zhaofeng He
3DH
45
0
0
19 Jun 2023
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
Akshay K. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
35
25
0
12 Apr 2023
Neural Episodic Control with State Abstraction
Neural Episodic Control with State Abstraction
Zhuo Li
Derui Zhu
Yujing Hu
Xiaofei Xie
Lei Ma
Yan Zheng
Yan Song
Yingfeng Chen
Jianjun Zhao
OffRL
28
14
0
27 Jan 2023
Continuous Episodic Control
Continuous Episodic Control
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
OffRL
27
3
0
28 Nov 2022
Generalization Properties of Retrieval-based Models
Generalization Properties of Retrieval-based Models
Soumya Basu
A. S. Rawat
Manzil Zaheer
39
6
0
06 Oct 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen
Cheng Lu
Chengyang Ying
Hang Su
Jun Zhu
DiffM
OffRL
108
106
0
29 Sep 2022
Large-Scale Retrieval for Reinforcement Learning
Large-Scale Retrieval for Reinforcement Learning
Peter C. Humphreys
A. Guez
O. Tieleman
Laurent Sifre
T. Weber
Timothy Lillicrap
RALM
OffRL
40
26
0
10 Jun 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic
  Memory
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory
Sam Blakeman
D. Mareschal
32
3
0
18 May 2022
Can deep learning match the efficiency of human visual long-term memory
  in storing object details?
Can deep learning match the efficiency of human visual long-term memory in storing object details?
Emin Orhan
VLM
OCL
28
0
0
27 Apr 2022
BATS: Best Action Trajectory Stitching
BATS: Best Action Trajectory Stitching
I. Char
Viraj Mehta
Adam R. Villaflor
John M. Dolan
J. Schneider
OffRL
38
8
0
26 Apr 2022
Learning to Constrain Policy Optimization with Virtual Trust Region
Learning to Constrain Policy Optimization with Virtual Trust Region
Hung Le
Thommen Karimpanal George
Majid Abdolshah
D. Nguyen
Kien Do
Sunil R. Gupta
Svetha Venkatesh
36
3
0
20 Apr 2022
Fast and Data Efficient Reinforcement Learning from Pixels via
  Non-Parametric Value Approximation
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
Alex Long
Alan Blair
H. V. Hoof
28
3
0
07 Mar 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
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
J. Ide
Daria Mićović
Michael J. Guarino
K. Alcedo
D. Rosenbluth
Adrian P. Pope
18
3
0
07 Feb 2022
Bayesian sense of time in biological and artificial brains
Bayesian sense of time in biological and artificial brains
Z. Fountas
Alexey Zakharov
35
0
0
14 Jan 2022
Sequential memory improves sample and memory efficiency in Episodic
  Control
Sequential memory improves sample and memory efficiency in Episodic Control
Ismael T. Freire
A. F. Amil
P. Verschure
OffRL
16
3
0
29 Dec 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven
  Exploration
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
Lu Zheng
Jiarui Chen
Jianhao Wang
Jiamin He
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
Chongjie Zhang
16
82
0
22 Nov 2021
Successor Feature Neural Episodic Control
Successor Feature Neural Episodic Control
David Emukpere
Xavier Alameda-Pineda
Chris Reinke
BDL
30
4
0
04 Nov 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
30
19
0
03 Nov 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
42
4
0
06 Oct 2021
On the Estimation Bias in Double Q-Learning
On the Estimation Bias in Double Q-Learning
Zhizhou Ren
Guangxiang Zhu
Haotian Hu
Beining Han
Jian-Hai Chen
Chongjie Zhang
24
17
0
29 Sep 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
52
130
0
01 Apr 2021
Iterative Bounding MDPs: Learning Interpretable Policies via
  Non-Interpretable Methods
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Nicholay Topin
Stephanie Milani
Fei Fang
Manuela Veloso
OffRL
29
32
0
25 Feb 2021
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
19
34
0
20 Oct 2020
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
Aayam Shrestha
Stefan Lee
Prasad Tadepalli
Alan Fern
OffRL
55
23
0
18 Oct 2020
A Unifying Framework for Reinforcement Learning and Planning
A Unifying Framework for Reinforcement Learning and Planning
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
36
9
0
26 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning
Self-Imitation Learning via Generalized Lower Bound Q-learning
Yunhao Tang
SSL
33
24
0
12 Jun 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
29
510
0
30 Mar 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
Generalization of Reinforcement Learners with Working and Episodic
  Memory
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato
Melissa Tan
Ryan Faulkner
Steven Hansen
Adria Puigdomenech Badia
Gavin Buttimore
Charlie Deck
Joel Z Leibo
Charles Blundell
27
70
0
29 Oct 2019
Stabilizing Transformers for Reinforcement Learning
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
22
360
0
13 Oct 2019
Towards Model-based Reinforcement Learning for Industry-near
  Environments
Towards Model-based Reinforcement Learning for Industry-near Environments
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
OffRL
DRL
22
4
0
27 Jul 2019
Generative Adversarial Self-Imitation Learning
Generative Adversarial Self-Imitation Learning
Yijie Guo
Junhyuk Oh
Satinder Singh
Honglak Lee
GAN
20
58
0
03 Dec 2018
Fast deep reinforcement learning using online adjustments from the past
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen
Pablo Sprechmann
Alexander Pritzel
André Barreto
Charles Blundell
TTA
OffRL
OnRL
18
42
0
18 Oct 2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Chia-Chun Hung
Timothy Lillicrap
Josh Abramson
Yan Wu
M. Berk Mirza
Federico Carnevale
Arun Ahuja
Greg Wayne
29
121
0
15 Oct 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
17
267
0
04 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning
  Environments
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
DRL
22
17
0
02 Oct 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward
  Update
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Su Young Lee
Sung-Ik Choi
Sae-Young Chung
BDL
21
73
0
31 May 2018
Episodic Memory Deep Q-Networks
Episodic Memory Deep Q-Networks
Zichuan Lin
Tianqi Zhao
Guangwen Yang
Lintao Zhang
OffRL
24
85
0
19 May 2018
Low-pass Recurrent Neural Networks - A memory architecture for
  longer-term correlation discovery
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery
T. Stepleton
Razvan Pascanu
Will Dabney
Siddhant M. Jayakumar
Hubert Soyer
Rémi Munos
19
4
0
13 May 2018
Memory-based Parameter Adaptation
Memory-based Parameter Adaptation
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODL
OOD
VLM
16
101
0
28 Feb 2018
Learning in the Machine: the Symmetries of the Deep Learning Channel
Learning in the Machine: the Symmetries of the Deep Learning Channel
Pierre Baldi
Peter Sadowski
Zhiqin Lu
26
30
0
22 Dec 2017
12
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