Co-occurring keywords · papers mentioning both
Papers
Introduction to Machine Learning with Robots and Playful Learning
AAAI 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
NeurIPS 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
COLT 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
AAAI 2021
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
AAAI 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
ACL 2021
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
EMNLP 2021
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
NeurIPS 2021
Language Model Augmented Relevance Score
ACL 2021
Language Models are Few-Shot Butlers
EMNLP 2021
Language Representations for Generalization in Reinforcement Learning
ACML 2021
Language Resource Efficient Learning for Captioning
EMNLP 2021
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution
CVPR 2021
Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction
CoRL 2021
Learning and Analyzing Generation Order for Undirected Sequence Models
EMNLP 2021
Learning and Planning in Complex Action Spaces
ICML 2021
Learning by Watching
CVPR 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
NeurIPS 2021
Learning Invariant Representations for Reinforcement Learning without Reconstruction
ICLR 2021
Learning Knowledge Graph-based World Models of Textual Environments
NeurIPS 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
NeurIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions
NeurIPS 2021
Learning Task-Distribution Reward Shaping with Meta-Learning
AAAI 2021
Learning Task Sampling Policy for Multitask Learning
EMNLP 2021
Learning the Non-Differentiable Optimization for Blind Super-Resolution
CVPR 2021