Inverse Reinforcement Learning

Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Learning What To Do by Simulating the Past ICLR 2021 Modeling Risky Choices in Unknown Environments ACML 2021 Objective-aware Traffic Simulation via Inverse Reinforcement Learning IJCAI 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 Repeated Inverse Reinforcement Learning NeurIPS 2017 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015 Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths NeurIPS 2013 MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Bootstrapping Apprenticeship Learning NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Help or Hinder: Bayesian Models of Social Goal Inference NeurIPS 2009 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007