Fast Task Inference with Variational Intrinsic Successor Features

12 June 2019

Papers citing "Fast Task Inference with Variational Intrinsic Successor Features"

50 / 111 papers shown

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 31 0 0 08 Jan 2025
Diversity Progress for Goal Selection in Discriminability-Motivated RL Erik M. Lintunen Nadia M. Ady Christian Guckelsberger 29 1 0 03 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 68 0 0 15 Oct 2024
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning Vassil Atanassov Wanming Yu Alexander L. Mitchell M. N. Finean Ioannis Havoutis SSL 27 1 0 10 Oct 2024
Hierarchical learning control for autonomous robots inspired by central nervous system Pei Zhang Zhaobo Hua Jinliang Ding 41 0 0 07 Aug 2024
Constrained Intrinsic Motivation for Reinforcement Learning Xiang Zheng Xingjun Ma Chao Shen Cong Wang 34 1 0 12 Jul 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael H. Bowling OffRL 32 1 0 20 Jun 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 42 4 0 07 Jun 2024
Open Problem: Active Representation Learning Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 26 1 0 06 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 37 1 0 01 Jun 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Xuezhou Xu Hang Su Xingxing Zhang Jun Zhu 32 4 0 23 May 2024
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 24 0 0 04 May 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 41 3 0 20 Feb 2024
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers Taewook Nam Juyong Lee Jesse Zhang Sung Ju Hwang Joseph J. Lim Karl Pertsch OffRL LRM 43 4 0 14 Dec 2023
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control Pei Zhang Zhaobo Hua Jinliang Ding 30 0 0 14 Nov 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 39 6 0 31 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Unsupervised Behavior Extraction via Random Intent Priors Haotian Hu Yiqin Yang Jianing Ye Ziqing Mai Chongjie Zhang OffRL 32 6 0 28 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 41 1 0 16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Predictive auxiliary objectives in deep RL mimic learning in the brain Ching Fang Kimberly L. Stachenfeld 27 6 0 09 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 47 13 0 05 Oct 2023
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality Jin Cheng Marin Vlastelica Pavel Kolev Chenhao Li Georg Martius 35 4 0 03 Oct 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery Xin Liu Yaran Chen Dong Zhao 30 0 0 29 Sep 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT Hadar Schreiber Galler Tom Zahavy Guillaume Desjardins Alon Cohen 30 0 0 24 Aug 2023
Offline Diversity Maximization Under Imitation Constraints Marin Vlastelica Jin Cheng Georg Martius Pavel Kolev OffRL 36 0 0 21 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum G. Konidaris 28 5 0 06 Jul 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations A. Jain Lucas Lehnert Irina Rish Glen Berseth 34 13 0 26 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 32 1 0 15 Jun 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 27 0 0 21 May 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 14 4 0 28 Feb 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 24 43 0 10 Feb 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 36 6 0 08 Feb 2023
Composing Task Knowledge with Modular Successor Feature Approximators Wilka Carvalho Angelos Filos Richard L. Lewis Honglak Lee Satinder Singh 15 7 0 28 Jan 2023
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 38 70 0 17 Dec 2022
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process Jiayu Chen Vaneet Aggarwal Tian-Shing Lan 16 1 0 01 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 21 0 23 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun-Jie Luo 15 0 0 13 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining Hao Liu Tom Zahavy Volodymyr Mnih Satinder Singh SSL 25 7 0 19 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Y. Liu Gao Huang 28 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 32 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 28 38 0 29 Sep 2022