Co-occurring keywords · papers mentioning both
Papers
Reinforced Continual Learning
NeurIPS 2018
Reinforced Co-Training
NAACL 2018
Reinforced Extractive Summarization with Question-Focused Rewards
ACL 2018
Reinforced Mnemonic Reader for Machine Reading Comprehension
IJCAI 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
IJCAI 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
RSS 2018
Reinforcement Cutting-Agent Learning for Video Object Segmentation
CVPR 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
NeurIPS 2018
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
CoRL 2018
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
CoRL 2018
Reinforcement Learning of Theorem Proving
NeurIPS 2018
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
ICLR 2018
Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection
MLHC 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
ICML 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
NeurIPS 2018
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
IJCAI 2018
Relational recurrent neural networks
NeurIPS 2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
ACL 2018
Representation Balancing MDPs for Off-policy Policy Evaluation
NeurIPS 2018
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback
ICLR 2018
[RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning
EMNLP 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
IJCAI 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
CoRL 2018
Reward Learning From Narrated Demonstrations
CVPR 2018
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018