Markov Decision Process

Optimising Spatial Teamwork Under Uncertainty AAAI 2025 Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization ICLR 2025 Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs AISTATS 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Planning and Learning in Risk-Aware Restless Multi-Arm Bandits AISTATS 2025 Policy Design in Long-run Welfare Dynamics ICLR 2025 Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees UAI 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis AISTATS 2025 Symbiotic Local Search for Small Decision Tree Policies in MDPs UAI 2025 TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data SemEval 2025 Approximation Algorithms for Observer Aware MDPs UAI 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ICLR 2024 Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024 Omega-Regular Decision Processes AAAI 2024 Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes UAI 2024 Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces ICLR 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024