Neural Episodic Control

6 March 2017

Alexander Pritzel

Papers citing "Neural Episodic Control"

50 / 62 papers shown

Title
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks Sebastian Barros AI4TS 36 0 0 06 May 2025
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 29 0 0 12 Oct 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading Chuqiao Zong Chaojie Wang Molei Qin Lei Feng Xinrun Wang Bo An AIFin 29 4 0 20 Jun 2024
Towards Open-World Gesture Recognition Junxiao Shen Matthias De Lange X. Xu Enmin Zhou Ran Tan Naveen Suda Maciej Lazarewicz Per Ola Kristensson Amy Karlson Evan Strasnick 20 3 0 20 Jan 2024
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik Narasimhan Thomas L. Griffiths LLMAG LM&Ro 54 153 0 05 Sep 2023
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 39 0 0 19 Jun 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Neural Episodic Control with State Abstraction Zhuo Li Derui Zhu Yujing Hu Xiaofei Xie L. Ma Yan Zheng Yan Song Yingfeng Chen Jianjun Zhao OffRL 18 14 0 27 Jan 2023
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
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 21 0 0 06 Jan 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
Continuous Episodic Control Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat OffRL 21 3 0 28 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier Yiheng Zhang Ting Yao Zhaofan Qiu Tao Mei OOD 29 3 0 15 Nov 2022
On learning history based policies for controlling Markov decision processes Gandharv Patil Aditya Mahajan Doina Precup OffRL 21 5 0 06 Nov 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 29 6 0 06 Oct 2022
Model-Free Deep Reinforcement Learning in Software-Defined Networks Luke Borchjes Clement N. Nyirenda L. Leenen 18 1 0 03 Sep 2022
Memory-Based Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Christopher D. Manning Chelsea Finn KELM 35 318 0 13 Jun 2022
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 29 2 0 27 May 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 27 5 0 23 May 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 21 3 0 18 May 2022
BATS: Best Action Trajectory Stitching I. Char Viraj Mehta Adam R. Villaflor John M. Dolan J. Schneider OffRL 30 8 0 26 Apr 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
Navigating to Objects in Unseen Environments by Distance Prediction Minzhao Zhu Binglei Zhao Tao Kong 18 32 0 08 Feb 2022
Sequential memory improves sample and memory efficiency in Episodic Control Ismael T. Freire A. F. Amil P. Verschure OffRL 11 3 0 29 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
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 David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 22 4 0 04 Nov 2021
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
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 34 4 0 06 Oct 2021
On the Estimation Bias in Double Q-Learning Zhizhou Ren Guangxiang Zhu Haotian Hu Beining Han Jian-Hai Chen Chongjie Zhang 16 17 0 29 Sep 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 18 43 0 18 Aug 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 36 130 0 01 Apr 2021
Persistent Message Passing Heiko Strathmann M. Barekatain Charles Blundell Petar Velickovic 33 15 0 01 Mar 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 16 32 0 25 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
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 Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
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 Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 30 9 0 26 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 25 24 0 12 Jun 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 37 188 0 23 Dec 2019
Accelerating Large-Scale Inference with Anisotropic Vector Quantization Ruiqi Guo Philip Sun Xiang Wu Quan Geng David Simcha Felix Chern Sanjiv Kumar MQ 18 7 0 27 Aug 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Learning Attractor Dynamics for Generative Memory Yan Wu Greg Wayne Karol Gregor Timothy Lillicrap BDL 9 18 0 23 Nov 2018
Fast deep reinforcement learning using online adjustments from the past S. Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 18 42 0 18 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 9 266 0 04 Oct 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 24 119 0 10 Sep 2018