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06/10/2023
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold
Ensuring the correctness of quantum programs is crucial for quantum soft...
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05/27/2023
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Existing online learning algorithms for adversarial Markov Decision Proc...
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05/07/2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification
Code classification is a difficult issue in program understanding and au...
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02/27/2023
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
We study the problem of designing adaptive multi-armed bandit algorithms...
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01/31/2022
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
The standard assumption in reinforcement learning (RL) is that agents ob...
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06/08/2021
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
We consider the best-of-both-worlds problem for learning an episodic Mar...
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06/10/2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
This work studies the problem of learning episodic Markov Decision Proce...
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12/03/2019
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
We consider the problem of learning in episodic finite-horizon Markov de...
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11/25/2019