Papers
959 papers found
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
Frederik Ebert, Sudeep Dasari, Alex X. Lee et al.
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor et al.
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taiga, Aaron Courville et al.
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
John Martin, Jinkun Wang, Brendan Englot
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck, Dieter Fox
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Linxi Fan, Yuke Zhu, Jiren Zhu et al.
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Spencer M. Richards, Felix Berkenkamp, Andreas Krause
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments
Vitor Guizilini, Fabio Ramos
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Jianwei Yang, Jiasen Lu, Stefan Lee et al.
Active Incremental Learning of Robot Movement Primitives
Guilherme Maeda, Marco Ewerton, Takayuki Osa et al.
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
Tatiana Lopez-Guevara, Nicholas K Taylor, Michael U Gutmann et al.
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control
Paul Drews, Grady Williams, Brian Goldfain et al.
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
Ransalu Senanayake, Fabio Ramos
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction
Joseph Campbell, Heni Ben Amor
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla et al.
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco, Davide Maltoni
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox et al.
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
Sanjay Krishnan, Roy Fox, Ion Stoica et al.
Deep Kernels for Optimizing Locomotion Controllers
Rika Antonova, Akshara Rai, Christopher G. Atkeson
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision
Humphrey Hu, George Kantor
Emergent Behaviors in Mixed-Autonomy Traffic
Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky et al.
End-to-End Learning of Semantic Grasping
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor et al.
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
John Martin, Brendan Englot