Reinforcement Learning

Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location ICML 2020 Stylized Text Generation: Approaches and Applications ACL 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020 Sub-policy Adaptation for Hierarchical Reinforcement Learning ICLR 2020 Succinct and Robust Multi-Agent Communication With Temporal Message Control NeurIPS 2020 Supervised Seeded Iterated Learning for Interactive Language Learning EMNLP 2020 SVQN: Sequential Variational Soft Q-Learning Networks ICLR 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Syntactic and Semantic-driven Learning for Open Information Extraction EMNLP 2020 Task-agnostic Exploration in Reinforcement Learning NeurIPS 2020 Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NeurIPS 2020 Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network EMNLP 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Task Scoping for Efficient Planning in Open Worlds (Student Abstract) AAAI 2020 Taylor Expansion Policy Optimization ICML 2020 Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity AACL 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 The Gambler's Problem and Beyond ICLR 2020 The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020 The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning NeurIPS 2020 The Mean-Squared Error of Double Q-Learning NeurIPS 2020