Vector Quantized Models for Planning

Vector Quantized Models for Planning

8 June 2021

Ali Razavi

Ioannis Antonoglou

Aaron van den Oord

Papers citing "Vector Quantized Models for Planning"

16 / 16 papers shown

Title
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 55 1 0 07 Nov 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 44 1 0 05 Jul 2024
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey Chen Shao Elias Giacoumidis Syed Moktacim Billah Shi Li Jialei Li Prashasti Sahu Andre Richter Tobias Kaefer Michael Faerber AI4TS 42 0 0 02 May 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 34 3 0 19 Oct 2023
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman Jannis Weil Johannes Czech Tobias Meuser Kristian Kersting 28 2 0 22 May 2023
Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks M. J. Bocus Xiaoyang Wang Robert Piechocki 23 1 0 24 Feb 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen Kazuki Irie Róbert Csordás Jürgen Schmidhuber SSL 32 1 0 15 Feb 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 29 5 0 31 Jan 2023
Hierarchical Imitation Learning with Vector Quantized Models Kalle Kujanpää Joni Pajarinen Alexander Ilin 27 12 0 30 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 39 56 0 08 Jan 2023
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 33 163 0 01 Sep 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 24 37 0 22 Aug 2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning Adam R. Villaflor Zheng Huang Swapnil Pande John M. Dolan J. Schneider OffRL 25 24 0 21 Jul 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 637 0 20 May 2022
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 30 93 0 10 Nov 2021
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 888 0 11 Nov 2017