CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

1 February 2022

Aravind Rajeswaran

Pieter Abbeel

SSL

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Papers citing "CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery"

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Title
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 60 0 0 30 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 53 3 0 17 Jan 2025
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 39 1 0 01 Jun 2024
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning Eric Hanchen Jiang Andrew Lizarraga 34 0 0 06 Dec 2023
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 39 1 0 16 Nov 2023
RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment Kevin Kaichuang Yang Dan Klein Asli Celikyilmaz Nanyun Peng Yuandong Tian ALM 41 30 0 24 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 45 5 0 20 Jul 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 71 10 0 11 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 19 0 26 Jan 2023
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 34 22 0 23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 52 45 0 23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 53 5 0 18 Nov 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
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 47 27 0 10 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
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 26 19 0 17 Aug 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
Empowered Neural Cellular Automata Caitlin Grasso Josh Bongard 33 5 0 27 Apr 2022
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 177 495 0 08 Apr 2018