Policy Learning

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NeurIPS 2018 A Case Study on the Importance of Belief State Representation for Dialogue Policy Management Interspeech 2018 Action-Constrained Markov Decision Processes With Kullback-Leibler Cost COLT 2018 Action-dependent Control Variates for Policy Optimization via Stein Identity ICLR 2018 Adaptive Multi-pass Decoder for Neural Machine Translation EMNLP 2018 Addressing Function Approximation Error in Actor-Critic Methods ICML 2018 An Inference-Based Policy Gradient Method for Learning Options ICML 2018 An Off-policy Policy Gradient Theorem Using Emphatic Weightings NeurIPS 2018 A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018 A Teacher-Student Framework for Maintainable Dialog Manager EMNLP 2018 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning EMNLP 2018 Automatic Poetry Generation with Mutual Reinforcement Learning EMNLP 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning IJCAI 2018 Balanced Policy Evaluation and Learning NeurIPS 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Boosting the Actor with Dual Critic ICLR 2018 Clipped Action Policy Gradient ICML 2018 Configurable Markov Decision Processes ICML 2018 Constrained Cross-Entropy Method for Safe Reinforcement Learning NeurIPS 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Convergent Tree Backup and Retrace with Function Approximation ICML 2018 Credit Assignment For Collective Multiagent RL With Global Rewards NeurIPS 2018 CSGNet: Neural Shape Parser for Constructive Solid Geometry CVPR 2018