Akshara Rai
Akshara Rai
Research Scientist, Facebook AI Research
Verified email at - Homepage
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
Re-examining linear embeddings for high-dimensional Bayesian optimization
B Letham, R Calandra, A Rai, E Bakshy
Advances in neural information processing systems 33, 1546-1558, 2020
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
Model-based inverse reinforcement learning from visual demonstrations
N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier
Conference on Robot Learning, 1930-1942, 2021
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
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
Encoding physical constraints in differentiable newton-euler algorithm
G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier
Learning for Dynamics and Control, 804-813, 2020
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
Learning generalizable locomotion skills with hierarchical reinforcement learning
T Li, N Lambert, R Calandra, F Meier, A Rai
2020 IEEE International Conference on Robotics and Automation (ICRA), 413-419, 2020
Using simulation to improve sample-efficiency of Bayesian optimization for bipedal robots
A Rai, R Antonova, F Meier, CG Atkeson
Journal of machine learning research 20 (49), 1-24, 2019
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
Efficient and interpretable robot manipulation with graph neural networks
Y Lin, AS Wang, E Undersander, A Rai
IEEE Robotics and Automation Letters 7 (2), 2740-2747, 2022
Deep kernels for optimizing locomotion controllers
R Antonova, A Rai, CG Atkeson
Conference on Robot Learning, 47-56, 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
Rethinking sim2real: Lower fidelity simulation leads to higher sim2real transfer in navigation
J Truong, M Rudolph, NH Yokoyama, S Chernova, D Batra, A Rai
Conference on Robot Learning, 859-870, 2023
Planning in learned latent action spaces for generalizable legged locomotion
T Li, R Calandra, D Pathak, Y Tian, F Meier, A Rai
IEEE Robotics and Automation Letters 6 (2), 2682-2689, 2021
Learning torque control for quadrupedal locomotion
S Chen, B Zhang, MW Mueller, A Rai, K Sreenath
2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 1-8, 2023
Y Lin, AS Wang, G Sutanto, A Rai, F Meier
Habitat 3.0: A co-habitat for humans, avatars and robots
X Puig, E Undersander, A Szot, MD Cote, TY Yang, R Partsey, R Desai, ...
arXiv preprint arXiv:2310.13724, 2023
Bayesian optimization in variational latent spaces with dynamic compression
R Antonova, A Rai, T Li, D Kragic
Conference on Robot Learning, 456-465, 2020
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