conftrace_

markov decision process

790 papers

Explore in graph

Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

Model-Free Active Exploration in Reinforcement Learning NIPS 2023
Offline Reinforcement Learning with Differential Privacy NIPS 2023
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation AAAI 2023
Active Coverage for PAC Reinforcement Learning COLT 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Learning non-Markovian Decision-Making from State-only Sequences NIPS 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023
Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023
Optimal Decision Tree Policies for Markov Decision Processes IJCAI 2023
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback NIPS 2023
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty IJCAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NIPS 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023
Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NIPS 2023
Loss Dynamics of Temporal Difference Reinforcement Learning NIPS 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Sample Complexity of Kernel-Based Q-Learning AISTATS 2023