Papers
959 papers found
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie, Yu Xiang, Arsalan Mousavian et al.
To Follow or not to Follow: Selective Imitation Learning from Observations
Youngwoon Lee, Edward S. Hu, Zhengyu Yang et al.
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
Yazhan Zhang, Weihao Yuan, Zicheng Kan et al.
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng, Xinyan Yan, Byron Boots
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
Adam Allevato, Elaine Schaertl Short, Mitch Pryor et al.
Two Stream Networks for Self-Supervised Ego-Motion Estimation
Rares Ambrus, Vitor Guizilini, Jie Li et al.
Understanding Teacher Gaze Patterns for Robot Learning
Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz et al.
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
Masashi Okada, Tadahiro Taniguchi
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
Ethan N. Evans, Marcus A. Periera, George I. Boutselis et al.
Vision-and-Dialog Navigation
Jesse Thomason, Michael Murray, Maya Cakmak et al.
Worst Cases Policy Gradients
Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov
Adaptable replanning with compressed linear action models for learning from demonstrations
Clement Gehring, Leslie Pack Kaelbling, Tomas Lozano-Perez
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauza, Francois R. Hogan, Alberto Rodriguez
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
Nadia Figueroa, Aude Billard
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments
Ransalu Senanayake, Anthony Tompkins, Fabio Ramos
Batch Active Preference-Based Learning of Reward Functions
Erdem Biyik, Dorsa Sadigh
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Tixiao Shan, Jinkun Wang, Brendan Englot et al.
Bayesian RL for Goal-Only Rewards
Philippe Morere, Fabio Ramos
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan et al.
Benchmarks for reinforcement learning in mixed-autonomy traffic
Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem et al.
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
Gregory Kahn, Adam Villaflor, Pieter Abbeel et al.
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer, Nikolay Savinov, Andreas Geiger
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Adrien Laversanne-Finot, Alexandre Pere, Pierre-Yves Oudeyer
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann, Antonio Loquercio, Rene Ranftl et al.
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam et al.