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

Personalized Reinforcement Learning with a Budget of Policies AAAI 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024
Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024
An investigation of time reversal symmetry in reinforcement learning L4DC 2024
Measuring Goal-Directedness NIPS 2024
Learning robust policies for uncertain parametric Markov decision processes L4DC 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024
The Trembling-Hand Problem for LTLf Planning IJCAI 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024
Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Policy Optimization for Robust Average Reward MDPs NIPS 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve NIPS 2024
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Policy Mirror Descent with Lookahead NIPS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024