sequential decision making

Working Memory Graphs ICML 2020 Adaptive Sequence Submodularity NeurIPS 2019 ASAC: Active Sensing using Actor-Critic models MLHC 2019 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards IJCAI 2019 Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio ICML 2019 Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019 Co-training for Policy Learning UAI 2019 Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models ICML 2019 Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue AAAI 2019 Geometric Multi-Model Fitting by Deep Reinforcement Learning AAAI 2019 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NeurIPS 2019 Hiring Under Uncertainty ICML 2019 Hyper-parameter Tuning under a Budget Constraint IJCAI 2019 Interpretable Cascade Classifiers with Abstention AISTATS 2019 Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior AAAI 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019 Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games AAAI 2019 Optimal Best Markovian Arm Identification with Fixed Confidence NeurIPS 2019 Planning with Goal-Conditioned Policies NeurIPS 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation IJCAI 2019