Methods

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards NeurIPS 2019 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 Hierarchical Visuomotor Control of Humanoids ICLR 2019 Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019 Hindsight Credit Assignment NeurIPS 2019 Hindsight policy gradients ICLR 2019 Historical Text Normalization with Delayed Rewards ACL 2019 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints CoRL 2019 HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving ICML 2019 How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019 Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019 Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 Imitating Latent Policies from Observation ICML 2019 Imitation Learning for Human Pose Prediction ICCV 2019 Imitation Learning from Imperfect Demonstration ICML 2019 Imitation Learning from Observation AAAI 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NeurIPS 2019 Imitation Learning from Video by Leveraging Proprioception IJCAI 2019 Imitation-Projected Programmatic Reinforcement Learning NeurIPS 2019 Imitation-Regularized Offline Learning AISTATS 2019 Importance Resampling for Off-policy Prediction NeurIPS 2019