reward function

Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019 Learning from a Learner ICML 2019 Learning from Trajectories via Subgoal Discovery NeurIPS 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Meta Learning for Image Captioning AAAI 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 On the Correctness and Sample Complexity of Inverse Reinforcement Learning NeurIPS 2019 On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference ICML 2019 Park: An Open Platform for Learning-Augmented Computer Systems NeurIPS 2019 Preferences Implicit in the State of the World ICLR 2019 Regular Decision Processes: A Model for Non-Markovian Domains IJCAI 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NeurIPS 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 Unsupervised Control Through Non-Parametric Discriminative Rewards ICLR 2019 Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards ICLR 2019 Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning EMNLP 2018 A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators COLING 2018 Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning EMNLP 2018 Batch Active Preference-Based Learning of Reward Functions CoRL 2018 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018