Agent Systems

How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking Interspeech 2019 Improving Domain-Independent Planning via Critical Section Macro-Operators AAAI 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Insights from Building an Open-Ended Conversational Agent ACL 2019 Intelligent Agent for Assessing and Guiding Rehabilitation Exercises IJCAI 2019 Interval timing in deep reinforcement learning agents NeurIPS 2019 Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019 Is Everything Going According to Plan? Expectations in Goal Reasoning Agents AAAI 2019 Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach AAAI 2019 K-Best Transformation Synchronization ICCV 2019 Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment ACL 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Learning Actionable Representations with Goal Conditioned Policies ICLR 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019 Learning Exploration Policies for Navigation ICLR 2019 Learning Finite State Representations of Recurrent Policy Networks ICLR 2019 Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems ICML 2019 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NeurIPS 2019