Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
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Abstract (arXiv)
We study reinforcement learning with linear function approximation, unknown transition, and adversarial losses in the bandit feedback setting. Specifically, we focus on linear mixture MDPs whose transition kernel is a linear mixture model. We propose a new algorithm that attains an widetildeO(d√HS3K + √HSAK) regret with high probability, where d is the dimension of feature mappings, S is the size of state space, A is the size of action space, H is the episode length and K is the number of episodes. Our result strictly improves the previous best-known widetildeO(dS2 √K + √HSAK) result in Zhao et al. (2023a) since H ≤ S holds by the layered MDP structure. Our advancements are primarily attributed to (i) a new least square estimator for the transition parameter that leverages the visit information of all states, as opposed to only one state in prior work, and (ii) a new self-normalized concentration tailored specifically to handle non-independent noises, originally proposed in the dynamic assortment area and firstly applied in reinforcement learning to handle correlations between different states.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 30 of its 52 references that are in the map. First posted on arXiv 7 Mar 2024.
Builds on
30 of 52 references.
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18 more
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Built on by
Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximationcited by 10
- 2024Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPscited by 5
- 2025Linear Mixture Distributionally Robust Markov Decision Processescited by 5
- 2025Decision Making in Hybrid Environments: A Model Aggregation Approachcited by 3
- 2025An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPscited by 2
- 2026Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPscited by 0
- 2026Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs27 Jun 2026
- 2025An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs10 Oct 2025
- 2025Linear Mixture Distributionally Robust Markov Decision Processes23 May 2025
- 2025Decision Making in Hybrid Environments: A Model Aggregation Approach9 Feb 2025
- 2024Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs5 Nov 2024
- 2024Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation27 May 2024