OPT-AIL provides the first provably efficient adversarial imitation learning algorithms under general function approximation, achieving polynomial expert sample and interaction complexity.
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Reinforcement learning with reward machines enables sleep control in mobile networks that accounts for history-dependent, time-averaged quality of service constraints.
citing papers explorer
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Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms
OPT-AIL provides the first provably efficient adversarial imitation learning algorithms under general function approximation, achieving polynomial expert sample and interaction complexity.
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Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
Reinforcement learning with reward machines enables sleep control in mobile networks that accounts for history-dependent, time-averaged quality of service constraints.