Akshara Rai
Akshara Rai
Research Scientist, Facebook AI Research
Verified email at fb.com
Cited by
Cited by
Reinforcement learning of clothing assistance with a dual-arm robot
T Tamei, T Matsubara, A Rai, T Shibata
2011 11th IEEE-RAS International Conference on Humanoid Robots, 733-738, 2011
Learning coupling terms for obstacle avoidance
A Rai, F Meier, A Ijspeert, S Schaal
2014 IEEE-RAS International Conference on Humanoid Robots, 512-518, 2014
Bayesian optimization using domain knowledge on the ATRIAS biped
A Rai, R Antonova, S Song, W Martin, H Geyer, C Atkeson
2018 IEEE International Conference on Robotics and Automation (ICRA), 1771-1778, 2018
Deep kernels for optimizing locomotion controllers
R Antonova, A Rai, CG Atkeson
arXiv preprint arXiv:1707.09062, 2017
Learning feedback terms for reactive planning and control
A Rai, G Sutanto, S Schaal, F Meier
2017 IEEE International Conference on Robotics and Automation (ICRA), 2184-2191, 2017
Sample efficient optimization for learning controllers for bipedal locomotion
R Antonova, A Rai, CG Atkeson
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
Using deep reinforcement learning to learn high-level policies on the atrias biped
T Li, H Geyer, CG Atkeson, A Rai
2019 International Conference on Robotics and Automation (ICRA), 263-269, 2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots.
A Rai, R Antonova, F Meier, CG Atkeson
J. Mach. Learn. Res. 20, 49:1-49:24, 2019
Learning from failed demonstrations in unreliable systems
A Rai, G De Chambrier, A Billard
2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013
Grasping region identification in novel objects using microsoft kinect
A Rai, PK Patchaikani, M Agarwal, R Gupta, L Behera
International Conference on Neural Information Processing, 172-179, 2012
Curious ilqr: Resolving uncertainty in model-based rl
S Bechtle, Y Lin, A Rai, L Righetti, F Meier
Conference on Robot Learning, 162-171, 2020
Optimal control for geometric motion planning of a robot diver
R Shu, A Siravuru, A Rai, T Dear, K Sreenath, H Choset
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Bayesian optimization in variational latent spaces with dynamic compression
R Antonova, A Rai, T Li, D Kragic
Conference on Robot Learning, 456-465, 2020
Encoding physical constraints in differentiable newton-euler algorithm
G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier
arXiv preprint arXiv:2001.08861, 2020
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
T Li, N Lambert, R Calandra, F Meier, A Rai
arXiv preprint arXiv:1909.12324, 2019
Policy Iteration with Gaussian Process based Value Function Approximation
A Khadke, A Rai
Learning State-Dependent Losses for Inverse Dynamics Learning
K Morse, N Das, Y Lin, A Wang, A Rai, F Meier
arXiv preprint arXiv:2003.04947, 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
B Letham, R Calandra, A Rai, E Bakshy
arXiv preprint arXiv:2001.11659, 2020
Exploring by Exploiting Bad Models in Model-Based Reinforcement Learning
Y Lin, S Bechtle, L Righetti, A Rai, F Meier
Hybrid Global Search for Sample Efficient Controller Optimization
A Rai, R Antonova, D Kragic, CG Atkeson
The system can't perform the operation now. Try again later.
Articles 1–20