Papers
959 papers found
Visual Localization and Mapping with Hybrid SFA
Muhammad Haris, Mathias Franzius, Ute Bauer-Wersing et al.
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
Michel Breyer, Jen Jen Chung, Lionel Ott et al.
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
Leonidas Koutras, Zoe Doulgeri
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Andrey Kurenkov, Ajay Mandlekar, Roberto Martin-Martin et al.
Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo et al.
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu
Adversarial Active Exploration for Inverse Dynamics Model Learning
Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann et al.
A Learnable Safety Measure
Steve Heim, Alexander von Rohr, Sebastian Trimpe et al.
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Erdem B\iy\ik, Malayandi Palan, Nicholas C. Landolfi et al.
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle et al.
Asynchronous Methods for Model-Based Reinforcement Learning
Yunzhi Zhang, Ignasi Clavera, Boren Tsai et al.
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Rika Antonova, Akshara Rai, Tianyu Li et al.
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon et al.
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Daniel S. Brown, Wonjoon Goo, Scott Niekum
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens, Michael Everett, Jonathan P. How
Combining Deep Learning and Verification for Precise Object Instance Detection
Siddharth Ancha, Junyu Nan, David Held
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal, Varun Tolani, Saurabh Gupta et al.
Conditional Driving from Natural Language Instructions
Junha Roh, Chris Paxton, Andrzej Pronobis et al.
Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning
Juntong Lin, Xuyun Yang, Peiwei Zheng et al.
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair, Shikhar Bahl, Alexander Khazatsky et al.
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier et al.
Counter-example Guided Learning of Bounds on Environment Behavior
Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh et al.
Curious iLQR: Resolving Uncertainty in Model-based RL
Sarah Bechtle, Yixin Lin, Akshara Rai et al.
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang, Ken Caluwaerts, Atil Iscen et al.