optimal policy

Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning AAAI 2026 Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025 Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching L4DC 2025 Reliable Active Apprenticeship Learning ALT 2025 Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025 Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms AAAI 2025 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 Finding good policies in average-reward Markov Decision Processes without prior knowledge NeurIPS 2024 Going Beyond Heuristics by Imposing Policy Improvement as a Constraint NeurIPS 2024 Graph-Triggered Rising Bandits ICML 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NeurIPS 2024 Optimal Sample Complexity for Average Reward Markov Decision Processes ICLR 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability NeurIPS 2024 Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023 Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NeurIPS 2023 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023 Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023