Imitation Learning
180 papers
Papers per year
1
1
1
1
1
1
5
9
19
15
14
24
20
19
29
20
'10
'15
'20
'25
Papers
MotionAug: Augmentation With Physical Correction for Human Motion Prediction
CVPR 2022
Neural Circuit Architectural Priors for Embodied Control
NeurIPS 2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
NeurIPS 2022
On Efficient Online Imitation Learning via Classification
NeurIPS 2022
PRHLT’s Submission to WLAC 2022
EMNLP 2022
Robust Imitation of a Few Demonstrations with a Backwards Model
NeurIPS 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
NeurIPS 2022
Sequence Model Imitation Learning with Unobserved Contexts
NeurIPS 2022
Text Editing as Imitation Game
EMNLP 2022
Towards Real-World Navigation With Deep Differentiable Planners
CVPR 2022
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
ICLR 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
ACL 2022
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAI 2021
Bridging the Imitation Gap by Adaptive Insubordination
NeurIPS 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
NeurIPS 2021
Hierarchical Neural Dynamic Policies
RSS 2021
How Do We Move: Modeling Human Movement with System Dynamics
AAAI 2021
Hyperparameter Selection for Imitation Learning
ICML 2021
Learning by Watching
CVPR 2021
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning
CVPR 2021
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
EMNLP 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract)
AAAI 2021
Sequential Causal Imitation Learning with Unobserved Confounders
NeurIPS 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
ICLR 2021