Reinforcement Learning

Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019 Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NeurIPS 2019 Biases for Emergent Communication in Multi-agent Reinforcement Learning NeurIPS 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019 Causal Confusion in Imitation Learning NeurIPS 2019 CEM-RL: Combining evolutionary and gradient-based methods for policy search ICLR 2019 Certified Adversarial Robustness for Deep Reinforcement Learning CoRL 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019 Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019 Collaborative Evolutionary Reinforcement Learning ICML 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 Combined Reinforcement Learning via Abstract Representations AAAI 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019 Competitive experience replay ICLR 2019 Composable Modular Reinforcement Learning AAAI 2019