conftrace_

markov decision process

790 papers

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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

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach NIPS 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making NIPS 2024
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NIPS 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty IJCAI 2023
Adversarial Model for Offline Reinforcement Learning NIPS 2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NIPS 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023
Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023
Learning non-Markovian Decision-Making from State-only Sequences NIPS 2023
Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning L4DC 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023
lilGym: Natural Language Visual Reasoning with Reinforcement Learning ACL 2023
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback NIPS 2023