Continuous Control with Action Quantization from Demonstrations

19 October 2021

Sertan Girgin

Olivier Pietquin

Papers citing "Continuous Control with Action Quantization from Demonstrations"

22 / 22 papers shown

Title
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction Suhwan Choi Yongjun Cho Minchan Kim Jaeyoon Jung Myunchul Joe ... Sungwoong Kim Sungjae Lee Hwiseong Park Jiwan Chung Youngjae Yu 38 0 0 02 Oct 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 16 0 0 01 Aug 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 34 1 0 05 Jul 2024
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion Zhitian Zhang Anjian Li Angelica Lim Mo Chen 28 3 0 29 May 2024
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training Mohammad Nazeri Junzhe Wang Amirreza Payandeh Xuesu Xiao SSL ViT 41 5 0 12 Mar 2024
Behavior Generation with Latent Actions Seungjae Lee Yibin Wang Haritheja Etukuru H. J. Kim Mahi Shafiullah Lerrel Pinto VGen OffRL 27 64 0 05 Mar 2024
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning Peng Gao Tao Yu Fei-Yue Wang Ruyue Yuan 18 1 0 22 Feb 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning Dianyu Zhong Yiqin Yang Qianchuan Zhao 22 6 0 11 Dec 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 37 1 0 02 Nov 2023
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning Jianlan Luo Perry Dong Jeffrey Wu Aviral Kumar Xinyang Geng Sergey Levine OffRL 20 18 0 18 Oct 2023
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration A. Sridhar Dhruv Shah Catherine Glossop Sergey Levine 26 112 0 11 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 38 4 0 30 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 30 0 0 08 Sep 2023
A Survey of Demonstration Learning André Rosa de Sousa Porfírio Correia Luís A. Alexandre OffRL 28 17 0 20 Mar 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 31 6 0 08 Feb 2023
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 11 36 0 22 Aug 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 837 0 12 Oct 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 147 471 0 06 Aug 2021
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 36 225 0 01 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 194 42 0 26 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 596 0 22 Sep 2016