policy network

Exploring Model-based Planning with Policy Networks ICLR 2020 Graph Policy Network for Transferable Active Learning on Graphs NeurIPS 2020 Joint Event Extraction with Hierarchical Policy Network COLING 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NeurIPS 2020 Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models AAAI 2020 Deep Active Learning with Adaptive Acquisition IJCAI 2019 Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019 Learning Finite State Representations of Recurrent Policy Networks ICLR 2019 Learning to Design RNA ICLR 2019 SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019 Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019 Adaptive Multi-pass Decoder for Neural Machine Translation EMNLP 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning IJCAI 2018 BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018 DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning NeurIPS 2018 End-to-End Reinforcement Learning for Automatic Taxonomy Induction ACL 2018 Jumper: Learning When to Make Classification Decision in Reading IJCAI 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018 Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017 Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CoRL 2017 QMDP-Net: Deep Learning for Planning under Partial Observability NeurIPS 2017