reinforcement learning

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-in-the-Loop Feature Selection AAAI 2019 Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Imitation Learning from Observation AAAI 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NeurIPS 2019 Imitation-Projected Programmatic Reinforcement Learning NeurIPS 2019 Importance Resampling for Off-policy Prediction NeurIPS 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Improving Image Captioning with Conditional Generative Adversarial Nets AAAI 2019 Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text ACL 2019 Information asymmetry in KL-regularized RL ICLR 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Integrating Learning with Game Theory for Societal Challenges IJCAI 2019 Intelligent Querying in Camera Networks for Efficient Target Tracking IJCAI 2019 Interactive Language Learning by Question Answering EMNLP 2019 IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs AAAI 2019 KAMA-NNs: Low-dimensional Rotation Based Neural Networks AISTATS 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Knowledge Base Question Answering with Topic Units IJCAI 2019 Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment ACL 2019 Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model CVPR 2019 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019