OPT-AIL provides the first provably efficient adversarial imitation learning algorithms under general function approximation, achieving polynomial expert sample and interaction complexity.
Human-level control through deep reinforcement learning
2 Pith papers cite this work. Polarity classification is still indexing.
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C-TRAIL combines LLM commonsense with a dual-trust mechanism and Dirichlet-weighted Monte Carlo Tree Search to improve trajectory planning accuracy and safety in autonomous driving.
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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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C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving
C-TRAIL combines LLM commonsense with a dual-trust mechanism and Dirichlet-weighted Monte Carlo Tree Search to improve trajectory planning accuracy and safety in autonomous driving.