Variational Intrinsic Control

22 November 2016

Karol Gregor

Danilo Jimenez Rezende

Papers citing "Variational Intrinsic Control"

50 / 114 papers shown

Title
Plasticity as the Mirror of Empowerment David Abel Michael Bowling André Barreto Will Dabney Shi Dong ... Doina Precup Jonathan Richens Mark Rowland Tom Schaul Satinder Singh AI4CE 31 0 0 15 May 2025
Decentralized Traffic Flow Optimization Through Intrinsic Motivation Himaja Papala Daniel Polani Stas Tiomkin 17 0 0 08 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 24 0 0 02 May 2025
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Myunsoo Kim Hayeong Lee Seong-Woong Shim JunHo Seo Byung-Jun Lee LLMAG 41 0 0 22 Jan 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 53 0 0 08 Jan 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 45 0 0 04 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 64 0 0 23 Oct 2024
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou VGen 56 1 0 08 Oct 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 42 0 0 14 Jun 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 44 4 0 07 Jun 2024
An Information Theoretic Approach to Interaction-Grounded Learning Xiaoyan Hu Farzan Farnia Ho-fung Leung VLM 37 2 0 10 Jan 2024
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning Hang Yu Reuben M. Aronson Katherine H. Allen E. Short 42 3 0 17 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 43 7 0 30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 38 34 0 13 Oct 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 49 0 0 08 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 41 26 0 23 Aug 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 41 1 0 28 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 35 0 0 21 May 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations Wenhao Lu Xufeng Zhao S. Magg M. Gromniak Mengdi Li S. Wermter 40 7 0 25 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 41 6 0 14 Apr 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 7 0 08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 29 9 0 08 Feb 2023
Layered State Discovery for Incremental Autonomous Exploration Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 39 0 0 07 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z. Leibo 26 2 0 02 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 19 0 26 Jan 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 26 5 0 29 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans Megha Srivastava Erdem Biyik Suvir Mirchandani Noah D. Goodman Dorsa Sadigh 20 6 0 25 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 34 22 0 23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 50 5 0 18 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 27 8 0 11 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 33 15 0 27 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yong-Jin Liu Gao Huang 33 13 0 13 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 31 21 0 06 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning Firas Jarboui Ahmed Akakzia 19 0 0 26 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 42 35 0 19 Sep 2022
MO2: Model-Based Offline Options Sasha Salter Markus Wulfmeier Dhruva Tirumala N. Heess Martin Riedmiller R. Hadsell Dushyant Rao OffRL 32 13 0 05 Sep 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022
Uniqueness and Complexity of Inverse MDP Models Marcus Hutter Steven Hansen 27 4 0 02 Jun 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 33 15 0 04 May 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 26 16 0 25 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison Gabriel Loaiza-Ganem BDL OffRL 26 8 0 09 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 37 21 0 03 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 80 66 0 01 Feb 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 40 0 0 15 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 60 26 0 17 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 26 28 0 09 Dec 2021