Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

29 September 2015

S. Mohamed

Danilo Jimenez Rezende

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Papers citing "Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning"

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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
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 35 0 0 13 May 2025
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 74 1 0 02 Feb 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 48 3 0 17 Jan 2025
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation Vasanth Reddy Baddam Behdad Chalaki Vaishnav Tadiparthi Hossein Nourkhiz Mahjoub Ehsan Moradi-Pari Hoda Eldardiry Almuatazbellah Boker 38 0 0 02 Jan 2025
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 55 0 0 31 Dec 2024
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning Abdulaziz Alwalan Miguel Arana-Catania 32 0 0 01 Jul 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 45 1 0 30 May 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 66 1 0 21 May 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 37 1 0 17 Jan 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 35 4 0 15 Dec 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 47 0 0 08 Sep 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 22 3 0 02 Jul 2023
Environmental path-entropy and collective motion H. Devereux M. S. Turner 19 6 0 31 Mar 2023
Social Cue Detection and Analysis Using Transfer Entropy Hao-Nan Jiang Elizabeth A. Croft Michael G. Burke 14 4 0 06 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 32 7 0 01 Mar 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 26 5 0 29 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 27 3 0 11 Dec 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 28 13 0 13 Oct 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 46 24 0 17 Jul 2022
Uniqueness and Complexity of Inverse MDP Models Marcus Hutter Steven Hansen 25 4 0 02 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 26 324 0 02 May 2022
Discovering Intrinsic Reward with Contrastive Random Walk Zixuan Pan Zihao Wei Yidong Huang Aditya Gupta 32 0 0 23 Apr 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Generative Adversarial Exploration for Reinforcement Learning Weijun Hong Menghui Zhu Minghuan Liu Weinan Zhang Ming Zhou Yong Yu Peng Sun OnRL 39 7 0 27 Jan 2022
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 16 82 0 22 Nov 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 29 11 0 27 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 45 18 0 27 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 41 20 0 17 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 50 119 0 31 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei Chenxi Liu Silvio Savarese 42 33 0 13 Aug 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 40 8 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 26 38 0 14 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 106 0 11 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Z. Fountas Karl J. Friston 22 20 0 08 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 24 3 0 01 Jun 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 41 195 0 08 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 30 26 0 25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 41 25 0 24 Feb 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 26 42 0 14 Dec 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020