conftrace_

optimal policy

93 papers

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Co-occurring keywords

reinforcement learning (4352) markov decision process (790) sample complexity (1169) regret bound (1926) generative model (2892) reward function (291) policy learning (702) online learning (1777) policy optimization (657) value function (295)

Papers

Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning AAAI 2026
Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms AAAI 2025
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NIPS 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint NIPS 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability NIPS 2024
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024
Finding good policies in average-reward Markov Decision Processes without prior knowledge NIPS 2024
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NIPS 2024
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right NIPS 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023
Improving the Knowledge Gradient Algorithm NIPS 2023
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search ACL 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning AAAI 2023
Keep-Alive Caching for the Hawkes process UAI 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023
Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023