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conftrace_

markov decision process

925 papers

MDP

Papers

Model-Free Active Exploration in Reinforcement Learning NeurIPS 2023 Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023 Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design AAAI 2023 Offline Reinforcement Learning with Differential Privacy NeurIPS 2023 On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NeurIPS 2023 Online Hyperparameter Optimization for Class-Incremental Learning AAAI 2023 On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023 Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NeurIPS 2023 Optimal Decision Tree Policies for Markov Decision Processes IJCAI 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics ICLR 2023 Optimistic PAC Reinforcement Learning: the Instance-Dependent View ALT 2023 Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Pandering in a (flexible) representative democracy UAI 2023 Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EACL 2023 Persuading Farsighted Receivers in MDPs: the Power of Honesty NeurIPS 2023 Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers AAAI 2023 Planning Multiple Epidemic Interventions with Reinforcement Learning IJCAI 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023 Posterior sampling-based online learning for the stochastic shortest path model UAI 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Principled Data-Driven Decision Support for Cyber-Forensic Investigations AAAI 2023 Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023