markov decision process

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024 A Dynamical View of the Question of Why ICLR 2024 An investigation of time reversal symmetry in reinforcement learning L4DC 2024 A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NeurIPS 2024 Automated Design of Affine Maximizer Mechanisms in Dynamic Settings AAAI 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback NeurIPS 2024 Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods ICLR 2024 Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024 Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties IJCAI 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 Contextual Bilevel Reinforcement Learning for Incentive Alignment NeurIPS 2024 Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ICLR 2024 Diffusion Spectral Representation for Reinforcement Learning NeurIPS 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024