APS: Active Pretraining with Successor Features

31 August 2021

Pieter Abbeel

Papers citing "APS: Active Pretraining with Successor Features"

31 / 81 papers shown

Title
Simple Emergent Action Representations from Multi-Task Policy Training Pu Hua Yubei Chen Huazhe Xu MLAU 12 6 0 18 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 17 5 0 14 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Y. Liu Gao Huang 23 12 0 13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 25 26 0 10 Oct 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Jinyi Liu Yingfeng Chen Changjie Fan 71 12 0 02 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 20 38 0 29 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Aaron C. Courville Alexandre Lacoste SSL 16 21 0 24 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 31 18 0 15 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandréa 4 1 0 31 Aug 2022
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning Zijian Gao Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 17 1 0 24 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 22 0 0 24 Aug 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer L. N. Alegre A. Bazzan Bruno C. da Silva 14 26 0 22 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
k-Means Maximum Entropy Exploration Alexander Nedergaard Matthew Cook 9 12 0 31 May 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert C. Benjamins Sebastian Dohler Bodo Rosenhahn Marius Lindauer SSL OffRL 54 4 0 23 May 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning Chao Chen Zijian Gao Kele Xu Sen Yang Yiying Li Bo Ding Dawei Feng Huaimin Wang 89 5 0 21 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 18 15 0 04 May 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration Mirco Mutti Ric De Santi Marcello Restelli 22 31 0 07 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 18 21 0 03 Feb 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 41 44 0 02 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 74 65 0 01 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 11 84 0 31 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 17 44 0 28 Jan 2022
Unsupervised Reinforcement Learning in Multiple Environments Mirco Mutti Mattia Mancassola Marcello Restelli OffRL 14 25 0 16 Dec 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 30 132 0 28 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 31 18 0 27 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai Lingxiao Wang Lei Han Animesh Garg Jianye Hao Peng Liu Zhaoran Wang 11 28 0 20 Oct 2021
Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado André Barreto Doina Precup Michael H. Bowling 8 40 0 12 Oct 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 19 15 0 28 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer P. S. Castro Aaron Courville Marc G. Bellemare OffRL 25 630 0 30 Aug 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 28 194 0 08 Mar 2021