sequential decision making

Black-box density function estimation using recursive partitioning ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty NeurIPS 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Deep Recurrent Belief Propagation Network for POMDPs AAAI 2021 GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction CVPR 2021 Intelligent and Learning Agents: Four Investigations IJCAI 2021 Learning to Make Decisions via Submodular Regularization ICLR 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Medical Dead-ends and Learning to Identify High-Risk States and Treatments NeurIPS 2021 Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games AAAI 2021 Non-Parametric Stochastic Sequential Assignment With Random Arrival Times IJCAI 2021 No-regret learning with high-probability in adversarial Markov decision processes UAI 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Sequential Causal Imitation Learning with Unobserved Confounders NeurIPS 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021 Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021 The Value of Information When Deciding What to Learn NeurIPS 2021 Tracking Regret Bounds for Online Submodular Optimization AISTATS 2021 UCB-based Algorithms for Multinomial Logistic Regression Bandits NeurIPS 2021 A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option AISTATS 2020 A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning Interspeech 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020