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

Robust Active Measuring under Model Uncertainty AAAI 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability NIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Policy Aggregation NIPS 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach NIPS 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Policy Optimization for Robust Average Reward MDPs NIPS 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024
Personalized Reinforcement Learning with a Budget of Policies AAAI 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024