Reinforcement Learning

Generative Exploration and Exploitation AAAI 2020 Goal-Aware Prediction: Learning to Model What Matters ICML 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020 How Should an Agent Practice? AAAI 2020 Human-centric dialog training via offline reinforcement learning EMNLP 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning AAAI 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020 Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020 Induction of Subgoal Automata for Reinforcement Learning AAAI 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 Information Theoretic Model Predictive Q-Learning L4DC 2020 Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020 Interactive Machine Comprehension with Information Seeking Agents ACL 2020 Invariant Causal Prediction for Block MDPs ICML 2020 IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020 Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020 Keep CALM and Explore: Language Models for Action Generation in Text-based Games EMNLP 2020 Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020