Mutual Alignment Transfer Learning

25 July 2017

Markus Wulfmeier

Pieter Abbeel

Papers citing "Mutual Alignment Transfer Learning"

22 / 22 papers shown

Title
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu Pan Xu 38 0 0 23 May 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 148 30,069 0 01 Mar 2022
Hybrid Reward Architecture for Reinforcement Learning H. V. Seijen Mehdi Fatemi Joshua Romoff Romain Laroche Tavian Barnes Jeffrey Tsang 29 252 0 13 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 91 1,313 0 30 May 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 39 147 0 30 May 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles S. Shah Debadeepta Dey Chris Lovett Ashish Kapoor 77 1,976 0 15 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 171 2,948 0 20 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 50 268 0 08 Mar 2017
Third-Person Imitation Learning Bradly C. Stadie Pieter Abbeel Ilya Sutskever 51 235 0 06 Mar 2017
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco Felix Berkenkamp Philipp Hennig Angela P. Schoellig Andreas Krause S. Schaal Sebastian Trimpe 40 126 0 03 Mar 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 72 312 0 03 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 137 4,822 0 26 Jan 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 282 814 0 13 Nov 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 66 532 0 13 Oct 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 48 249 0 11 Oct 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 108 349 0 05 Oct 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 111 3,089 0 10 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 174 5,056 0 05 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 76 2,451 0 21 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 66 1,689 0 22 Apr 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 345 9,418 0 28 May 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 245 6,722 0 19 Feb 2015