Reinforcement Learning

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 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning EMNLP 2019 Incremental Learning of Planning Actions in Model-Based Reinforcement Learning IJCAI 2019 Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning CoRL 2019 Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning IJCAI 2019 InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019 Information asymmetry in KL-regularized RL ICLR 2019 Information-Directed Exploration for Deep Reinforcement Learning ICLR 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty IJCAI 2019 Integrating Learning with Game Theory for Societal Challenges IJCAI 2019 Interactive Language Learning by Question Answering EMNLP 2019 Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019