Co-occurring keywords · papers mentioning both
Papers
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor
CoRL 2021
Learning by Watching
CVPR 2021
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning
EACL 2021
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
ICLR 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
CoRL 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
CoRL 2021
Learning Structural Edits via Incremental Tree Transformations
ICLR 2021
Learning To Drive From a World on Rails
ICCV 2021
Learning to Make Decisions via Submodular Regularization
ICLR 2021
Learning to Reach Goals via Iterated Supervised Learning
ICLR 2021
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
AAAI 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
L4DC 2021
LILA: Language-Informed Latent Actions
CoRL 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
CoRL 2021
Manipulator-Independent Representations for Visual Imitation
RSS 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits
AAAI 2021
Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games
ACL 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
NeurIPS 2021
MobILE: Model-Based Imitation Learning From Observation Alone
NeurIPS 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning
UAI 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
CVPR 2021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
ICCV 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
CVPR 2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
NeurIPS 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
NeurIPS 2021