Generalization of Reinforcement Learners with Working and Episodic Memory

29 October 2019

Adria Puigdomenech Badia

Papers citing "Generalization of Reinforcement Learners with Working and Episodic Memory"

44 / 44 papers shown

Title
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments Dolton Fernandes Pramod Kaushik Harsh Shukla Bapi Raju Surampudi 21 0 0 08 Apr 2025
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
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
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 82 1 0 16 Dec 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series Muyao Wang Wenchao Chen Zhibin Duan Bo Chen AI4TS DiffM 39 0 0 27 Sep 2024
SplAgger: Split Aggregation for Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Zheng Xiong Shimon Whiteson OffRL 29 2 0 05 Mar 2024
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
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 45 9 0 26 Sep 2023
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 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 Fei Deng Junyeong Park Sungjin Ahn 32 24 0 05 Jul 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 29 10 0 15 Jun 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 124 0 19 Jan 2023
Evaluating Long-Term Memory in 3D Mazes J. Pašukonis Timothy Lillicrap Danijar Hafner 3DV 21 21 0 24 Oct 2022
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
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 35 1 0 22 Sep 2022
Extended Intelligence D. Barack Andrew Jaegle 33 5 0 15 Sep 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents Shunyu Yao Howard Chen John Yang Karthik R. Narasimhan LLMAG LM&Ro 43 445 0 04 Jul 2022
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 41 50 0 14 Jun 2022
On Neural Architecture Inductive Biases for Relational Tasks Giancarlo Kerg Sarthak Mittal David Rolnick Yoshua Bengio Blake A. Richards Guillaume Lajoie OOD 23 25 0 09 Jun 2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization Marco Pleines Matthias Pallasch F. Zimmer Mike Preuss 26 13 0 23 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 38 7 0 13 May 2022
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 Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 157 0 18 Nov 2021
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
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 103 0 14 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
Differentiable Architecture Search for Reinforcement Learning Yingjie Miao Xingyou Song John D. Co-Reyes Daiyi Peng Summer Yue E. Brevdo Aleksandra Faust 20 4 0 04 Jun 2021
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
Synthetic Returns for Long-Term Credit Assignment David Raposo Samuel Ritter Adam Santoro Greg Wayne T. Weber M. Botvinick H. V. Hasselt Francis Song AI4TS 21 34 0 24 Feb 2021
Emergent Symbols through Binding in External Memory Taylor Webb I. Sinha Jonathan Cohen 67 65 0 29 Dec 2020
Using Unity to Help Solve Intelligence Tom Ward Andrew Bolt Nik Hemmings Simon Carter Manuel Sanchez ... Jay Lemmon J. Coe Piotr Trochim T. Handley Adrian Bolton 19 18 0 18 Nov 2020
From Eye-blinks to State Construction: Diagnostic Benchmarks for Online Representation Learning Banafsheh Rafiee Zaheer Abbas Sina Ghiassian Raksha Kumaraswamy R. Sutton Elliot A. Ludvig Adam White OffRL 19 17 0 09 Nov 2020
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
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 20 8 0 03 Oct 2020
Grounded Language Learning Fast and Slow Felix Hill O. Tieleman Tamara von Glehn Nathaniel Wong Hamza Merzic S. Clark LM&Ro 29 77 0 03 Sep 2020
Online Spatio-Temporal Learning in Deep Neural Networks Thomas Bohnstingl Stanislaw Wo'zniak Wolfgang Maass A. Pantazi E. Eleftheriou 29 43 0 24 Jul 2020
Do Transformers Need Deep Long-Range Memory Jack W. Rae Ali Razavi RALM 17 38 0 07 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 47 0 30 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 16 29 0 05 Jun 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning Marco Pleines J. Jitsev Mike Preuss Frank Zimmer 25 2 0 01 Apr 2020
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
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Yunsheng Wu Greg Wayne 19 9 0 06 Feb 2020