Publications by our friends at MIT MIC

• RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin*, Jonathan Uesato*, Surya Bhupatiraju* , Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli Under review as ICML 2017 Conference Paper
• Variational Lossy Autoencoder Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel ICLR 2017 Conference Paper
• A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang, Tomer Ullman, Antonio Torralba, Joshua Tenenbaum ICLR 2017 Conference NIPS 2016 Intuitive Physics Workshop > Project Webpage > Code > Poster > Spotlight Talk
• Deep Successor Reinforcement Learning Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, Samuel J. Gershman NIPS 2016 Deep Reinforcement Learning Workshop, Spotlight
• Opponent Modeling in Deep Reinforcement Learning He He, Jordan Boyd-Graber, Kevin Kwok and Hal Daumé III ICML 2016 Conference
• Understanding Visual Concepts with Continuation Learning William Whitney, Michael Chang, Tejas Kulkarni, Joshua Tenenbaum ICLR 2016 Workshop > Project Webpage > Code