Reinforcement Learning

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Named Entity Recognition Only from Word Embeddings EMNLP 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning IJCAI 2020 Observational Overfitting in Reinforcement Learning ICLR 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Periodic Q-Learning L4DC 2020 Playing Atari with Six Neurons (Extended Abstract) IJCAI 2020 Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models AAAI 2020 Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task CVPR 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction CoRL 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Residual Policy Learning for Shared Autonomy RSS 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020 RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real CVPR 2020