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
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Aaron C. Courville Alexandre Lacoste SSL 26 21 0 24 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions Chenhao Li Sebastian Blaes Pavel Kolev Marin Vlastelica Jonas Frey Georg Martius SSL 49 29 0 16 Sep 2022
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 52 28 0 15 Sep 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Marwa Abdulhai Natasha Jaques Sergey Levine OffRL 19 5 0 09 Aug 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer L. N. Alegre A. Bazzan Bruno C. da Silva 25 26 0 22 Jun 2022
Generalised Policy Improvement with Geometric Policy Composition S. Thakoor Mark Rowland Diana Borsa Will Dabney Rémi Munos André Barreto OffRL 14 7 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Discrete State-Action Abstraction via the Successor Representation A. Attali Pedro Cisneros-Velarde M. Morales Nancy M. Amato OffRL 28 1 0 07 Jun 2022
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization S. Reddy Sergey Levine Anca Dragan SSL 11 12 0 24 May 2022
Task Relabelling for Multi-task Transfer using Successor Features Martin Balla Diego Perez-Liebana 14 1 0 20 May 2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL Akram Erraqabi Marlos C. Machado Mingde Zhao Sainbayar Sukhbaatar A. Lazaric Ludovic Denoyer Yoshua Bengio OffRL 28 9 0 21 Mar 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games Yunqiu Xu Meng Fang Ling Chen Yali Du Joey Tianyi Zhou Chengqi Zhang OffRL 26 19 0 20 Mar 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 23 3 0 07 Mar 2022
Reward-Free Policy Space Compression for Reinforcement Learning Mirco Mutti Stefano Del Col Marcello Restelli 18 3 0 22 Feb 2022
Soft Actor-Critic with Inhibitory Networks for Faster Retraining J. Ide Daria Mićović Michael J. Guarino K. Alcedo D. Rosenbluth Adrian P. Pope 6 3 0 07 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 24 21 0 03 Feb 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 43 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
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller OffRL 26 27 0 27 Jan 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions Anthony GX-Chen Veronica Chelu Blake A. Richards Joelle Pineau TTA 29 1 0 05 Jan 2022
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates Safa Alver Doina Precup OffRL 4 17 0 30 Dec 2021
Analysis and Prediction of NLP Models Via Task Embeddings Damien Sileo Marie-Francine Moens 22 3 0 10 Dec 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 30 50 0 25 Nov 2021
Successor Feature Neural Episodic Control David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 22 4 0 04 Nov 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 23 5 0 29 Oct 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 36 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 19 28 0 20 Oct 2021
Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado André Barreto Doina Precup Michael H. Bowling 16 40 0 12 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 36 14 0 10 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 53 31 0 06 Oct 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 26 15 0 28 Sep 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires Bryan Lim Luca Grillotti Lorenzo Bernasconi Antoine Cully 66 28 0 16 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 31 118 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer P. S. Castro Aaron Courville Marc G. Bellemare OffRL 41 633 0 30 Aug 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih S. Hansen SSL 11 45 0 29 Jul 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 32 8 0 12 Jul 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 23 6 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 39 114 0 09 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 9 8 0 06 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 17 21 0 02 Jun 2021
Discovering Diverse Nearly Optimal Policies with Successor Features Tom Zahavy Brendan O'Donoghue André Barreto Volodymyr Mnih Sebastian Flennerhag Satinder Singh 20 20 0 01 Jun 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta T. Matsushima Tadashi Kozuno Y. Matsuo Sergey Levine Ofir Nachum S. Gu OffRL 6 13 0 23 Mar 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 60 0 14 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 34 194 0 08 Mar 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies Kianté Brantley Soroush Mehri Geoffrey J. Gordon OffRL 20 11 0 03 Mar 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 15 22 0 24 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann S. Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 28 26 0 24 Feb 2021