Papers
959 papers found
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Martin Weiss, Simon Chamorro, Roger Girgis et al.
Nonverbal Robot Feedback for Human Teachers
Sandy H. Huang, Isabella Huang, Ravi Pandya et al.
Object-centric Forward Modeling for Model Predictive Control
Yufei Ye, Dhiraj Gandhi, Abhinav Gupta et al.
On-Policy Robot Imitation Learning from a Converging Supervisor
Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee et al.
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
Lukas Schwenkel, Meng Guo, Mathias Bürger
Perceptual Attention-based Predictive Control
Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov et al.
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
Predictive Safety Network for Resource-constrained Multi-agent Systems
Meng Guo, Mathias Bürger
Provably Robust Blackbox Optimization for Reinforcement Learning
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder et al.
PyRoboLearn: A Python Framework for Robot Learning Practitioners
Brian Delhaisse, Leonel Rozo, Darwin G. Caldwell
Quasi-Newton Trust Region Policy Optimization
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Receding Horizon Curiosity
Matthias Schultheis, Boris Belousov, Hany Abdulsamad et al.
Regularizing Model-Based Planning with Energy-Based Models
Rinu Boney, Juho Kannala, Alexander Ilin
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch et al.
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
Mustafa Mukadam, Ching-An Cheng, Dieter Fox et al.
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn, Henry Zhu, Kristian Hartikainen et al.
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari, Frederik Ebert, Stephen Tian et al.
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
Vitor Guizilini, Jie Li, Rares Ambrus et al.
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Yuzhe Qin, Rui Chen, Hao Zhu et al.
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Chaitanya Mitash, Bowen Wen, Kostas Bekris et al.
Self-Paced Contextual Reinforcement Learning
Pascal Klink, Hany Abdulsamad, Boris Belousov et al.
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
Stochastic Optimal Control as Approximate Input Inference
Joe Watson, Hany Abdulsamad, Jan Peters
Task-Conditioned Variational Autoencoders for Learning Movement Primitives
Michael Noseworthy, Rohan Paul, Subhro Roy et al.
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
Rémy Portelas, Cédric Colas, Katja Hofmann et al.