Reinforcement Learning

Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NeurIPS 2019 A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NeurIPS 2019 A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation NeurIPS 2019 A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019 A Modular Optimization Framework for Localization and Mapping RSS 2019 A Monte Carlo Tree Search Player for Birds of a Feather Solitaire AAAI 2019 An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments IJCAI 2019 An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents IJCAI 2019 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Entity-Driven Framework for Abstractive Summarization EMNLP 2019 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019 An Evolution Strategy with Progressive Episode Lengths for Playing Games IJCAI 2019 A new dog learns old tricks: RL finds classic optimization algorithms ICLR 2019 An Imitation Learning Approach to Unsupervised Parsing ACL 2019 An Imperfect Algorithm for Coalition Structure Generation AAAI 2019 An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019 An Investigation of Model-Free Planning ICML 2019 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019 Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension EMNLP 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019