Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
'10
'15
'20
'25
Papers
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
ACML 2021
Robust Imitation Learning from Noisy Demonstrations
AISTATS 2021
Robustly Learning Composable Options in Deep Reinforcement Learning
IJCAI 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
ACML 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
RSS 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
ICCV 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
AAAI 2021
Robust Value Iteration for Continuous Control Tasks
RSS 2021
Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression
CVPR 2021
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
CoRL 2021
RRL: Resnet as representation for Reinforcement Learning
ICML 2021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
CVPR 2021
Safe Driving via Expert Guided Policy Optimization
CoRL 2021
Safe Pontryagin Differentiable Programming
NeurIPS 2021
Safe Reinforcement Learning by Imagining the Near Future
NeurIPS 2021
Safe Reinforcement Learning Using Advantage-Based Intervention
ICML 2021
Safe Reinforcement Learning Using Robust Action Governor
L4DC 2021
Safe Reinforcement Learning via Statistical Model Predictive Shielding
RSS 2021
Safe Reinforcement Learning with Natural Language Constraints
NeurIPS 2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
RSS 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
ICML 2021
Scale invariant robot behavior with fractals
RSS 2021
Scaling Up Multi-Task Robotic Reinforcement Learning
CoRL 2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
CoRL 2021
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions
L4DC 2021