Papers
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
Frederik Ebert, Sudeep Dasari, Alex X. Lee et al.
ESIM: an Open Event Camera Simulator
Henri Rebecq, Daniel Gehrig, Davide Scaramuzza
Interpretable Latent Spaces for Learning from Demonstration
Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo, Raquel Urtasun
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
Nadia Figueroa, Aude Billard
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan et al.
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto et al.
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang, Wenshan Wang, Rogerio Bonatti et al.
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg et al.
Dyadic collaborative Manipulation through Hybrid Trajectory Optimization
Theodoros Stouraitis, Iordanis Chatzinikolaidis, Michael Gienger et al.
Modular meta-learning
Ferran Alet, Tomas Lozano-Perez, Leslie P. Kaelbling
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Tixiao Shan, Jinkun Wang, Brendan Englot et al.
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taiga, Aaron Courville et al.
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
Gregory Kahn, Adam Villaflor, Pieter Abbeel et al.
Learning under Misspecified Objective Spaces
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac et al.
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Linxi Fan, Yuke Zhu, Jiren Zhu et al.
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
Ajinkya Jain, Scott Niekum
Expanding Motor Skills using Relay Networks
Visak CV Kumar, Sehoon Ha, C.Karen Liu
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison
Learning What Information to Give in Partially Observed Domains
Rohan Chitnis, Leslie Pack Kaelbling, Tomas Lozano-Perez
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
Daniel Nyga, Subhro Roy, Rohan Paul et al.
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment
Fabio Muratore, Felix Treede, Michael Gienger et al.
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piche et al.