Policy Learning

Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019 Causal Confusion in Imitation Learning NeurIPS 2019 CEM-RL: Combining evolutionary and gradient-based methods for policy search ICLR 2019 Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 Composable Modular Reinforcement Learning AAAI 2019 Composing Complex Skills by Learning Transition Policies ICLR 2019 Composing Entropic Policies using Divergence Correction ICML 2019 Composing Value Functions in Reinforcement Learning ICML 2019 Compositional Plan Vectors NeurIPS 2019 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019 Constrained Reinforcement Learning Has Zero Duality Gap NeurIPS 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Co-training for Policy Learning UAI 2019 Curriculum Learning for Cumulative Return Maximization IJCAI 2019 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019 Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019 Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019 Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019 Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies IJCAI 2019 DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019