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Learning Control by Iterative Inversion


Nov 03, 2022
Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar

* Videos available at https://sites.google.com/view/iter-inver 

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Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach


Jun 21, 2022
Zohar Rimon, Aviv Tamar, Gilad Adler


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Unsupervised Image Representation Learning with Deep Latent Particles


May 31, 2022
Tal Daniel, Aviv Tamar

* ICML 2022. Project webpage and code: https://taldatech.github.io/deep-latent-particles-web/ 

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Validate on Sim, Detect on Real -- Model Selection for Domain Randomization


Dec 01, 2021
Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar

* Updated results section. Project website: https://sites.google.com/view/vsdr/home 

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Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability


Sep 24, 2021
Aviv Tamar, Daniel Soudry, Ev Zisselman


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Efficient Self-Supervised Data Collection for Offline Robot Learning


May 10, 2021
Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar

* Accepted in ICRA 2021 

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Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization


Mar 20, 2021
Carmel Rabinovitz, Niko Grupen, Aviv Tamar

* Accepted to ICRA 2021, code can be found at https://github.com/carmelrabinov/cdr 

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Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder


Dec 24, 2020
Tal Daniel, Aviv Tamar

* Code and additional information is available on the project website - https://taldatech.github.io/soft-intro-vae-web 

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Online Safety Assurance for Deep Reinforcement Learning


Oct 07, 2020
Noga H. Rotman, Michael Schapira, Aviv Tamar

* 8 pages, to appear in The 19th ACM Workshop on Hot Topics in Networks (HotNets 2020) 

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