Accepted Papers

1. Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations [talk] [poster]

Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor

2. Learning topological motion primitives for knot planning [supplementary video] [talk] [poster]

Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg

3. gradSLAM: Automagically differentiable SLAM [talk]

Krishna Murthy Jatavallabhula, Ganesh Iyer, Soroush Saryazdi, Liam Paull

4. BayesRace: Learning to race autonomously using prior experience [talk]

Achin Jain, Pratik Chaudhari, Manfred Morari

5. Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction [talk] [poster]

Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard

6. Learning State-Dependent Losses for Inverse Dynamics Learning [talk] [poster]

Neha Das, Kristen Morse, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier

7. How to Train Your Differentiable Filter [talk] [poster]

Alina Kloss, Georg Martius, Jeannette Bohg

8. Attention-Privileged Reinforcement Learning [appendix] [talk] [poster]

Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

9. Locally-Connected Interrelated Network: A Forward Propagation Primitive [talk] [poster]

Nicholas Collins, Hanna Kurniawati

10. Stein Variational Model Predictive Control [talk] [poster]

Alexander Lambert, Fabio Ramos, Adam Fishman, Dieter Fox, Byron Boots

11. A Differentiable Newton Euler Algorithm for Multi-body Model Learning [talk] [poster]

Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters

12. Learning Rewards via State Marginal Matching [appendix] [talk]

Tejus Gupta, Tianwei Ni, Harshit S Sikchi, Yufei Wang, Ben Eysenbach, Lisa Lee

13. Learning Off-Policy with Online Planning [appendix] [talk]

Harshit S Sikchi, Wenxuan Zhou, David Held

14. Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts [talk] [poster]

Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha Srinivasa

15. Efficient Learning of Discontinuous Contact Dynamics with Smooth Parameterizations [talk] [poster]

Samuel Pfrommer, Mathew Halm, Michael Posa

16. Towards Differentiable Resampling [talk] [poster]

Michael H. Zhu, Kevin Murphy, Rico Jonschkowski