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. 2105.14039
  4. Cited By
Towards mental time travel: a hierarchical memory for reinforcement
  learning agents

Towards mental time travel: a hierarchical memory for reinforcement learning agents

28 May 2021
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Andrea Banino
Felix Hill
ArXivPDFHTML

Papers citing "Towards mental time travel: a hierarchical memory for reinforcement learning agents"

31 / 31 papers shown
Title
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Dolton Fernandes
Pramod Kaushik
Harsh Shukla
Bapi Raju Surampudi
19
0
0
08 Apr 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
G. Konidaris
OffRL
CLL
VLM
49
0
0
06 Mar 2025
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov
Nikita Kachaev
A. Kovalev
Aleksandr I. Panov
OffRL
41
0
0
14 Feb 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
62
2
0
20 Jan 2025
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
42
1
0
09 Jul 2024
MemoNav: Working Memory Model for Visual Navigation
MemoNav: Working Memory Model for Visual Navigation
Hongxin Li
Zeyu Wang
Xueke Yang
Yu-Ren Yang
Shuqi Mei
Zhaoxiang Zhang
38
5
0
29 Feb 2024
Spatially-Aware Transformer for Embodied Agents
Spatially-Aware Transformer for Embodied Agents
Junmo Cho
Jaesik Yoon
Sungjin Ahn
41
0
0
23 Feb 2024
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
33
5
0
26 Oct 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of
  Agents
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
Marco Pleines
Matthias Pallasch
Frank Zimmer
Mike Preuss
OffRL
29
0
0
29 Sep 2023
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
22
1
0
11 Jul 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit
  Assignment
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni
Michel Ma
Benjamin Eysenbach
Pierre-Luc Bacon
OffRL
26
34
0
07 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4
Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng
Junyeong Park
Sungjin Ahn
32
24
0
05 Jul 2023
Recurrent Action Transformer with Memory
Recurrent Action Transformer with Memory
A. Staroverov
A. Bessonov
Dmitry A. Yudin
A. Kovalev
Aleksandr I. Panov
OffRL
33
4
0
15 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
27
1
0
08 Jun 2023
Graph schemas as abstractions for transfer learning, inference, and
  planning
Graph schemas as abstractions for transfer learning, inference, and planning
J. S. Guntupalli
Rajkumar Vasudeva Raju
Shrinu Kushagra
Carter Wendelken
Daniel P. Sawyer
Ishani Deshpande
Guangyao Zhou
Miguel Lazaro-Gredilla
Dileep George
31
9
0
14 Feb 2023
Large language models can segment narrative events similarly to humans
Large language models can segment narrative events similarly to humans
Sebastian Michelmann
Manoj Kumar
K. A. Norman
Mariya Toneva
26
15
0
24 Jan 2023
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss
  Policy for Transfer Learning
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Christopher T. Lengerich
Gabriel Synnaeve
Amy Zhang
Hugh Leather
Kurt Shuster
Franccois Charton
Charysse Redwood
SSL
OffRL
21
1
0
21 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement
  Learning
Planning Irregular Object Packing via Hierarchical Reinforcement Learning
Sichao Huang
Ziwei Wang
Jie Zhou
Jiwen Lu
18
18
0
17 Nov 2022
MemoNav: Selecting Informative Memories for Visual Navigation
MemoNav: Selecting Informative Memories for Visual Navigation
Hongxin Li
Xueke Yang
Yu-Ren Yang
Shuqi Mei
Zhaoxiang Zhang
18
4
0
20 Aug 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded
  Language Agents
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Shunyu Yao
Howard Chen
John Yang
Karthik Narasimhan
LLMAG
LM&Ro
37
439
0
04 Jul 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
37
26
0
10 Jun 2022
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
R. Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
24
2
0
27 May 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
20
13
0
23 May 2022
On the link between conscious function and general intelligence in
  humans and machines
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
34
24
0
24 Mar 2022
Zipfian environments for Reinforcement Learning
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
13
15
0
15 Mar 2022
Feature-Attending Recurrent Modules for Generalization in Reinforcement
  Learning
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Carvalho
Andrew Kyle Lampinen
Kyriacos Nikiforou
Felix Hill
Murray Shanahan
OffRL
29
0
0
15 Dec 2021
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
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
247
695
0
27 Aug 2021
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?
Thang M. Pham
Trung Bui
Long Mai
Anh Totti Nguyen
214
122
0
30 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
47
307
0
25 Dec 2020
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
1