OPT-AIL provides the first provably efficient adversarial imitation learning algorithms under general function approximation, achieving polynomial expert sample and interaction complexity.
Exploration in deep reinforcement learning: a comprehensive survey
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BEHAVIOR-1K introduces a benchmark of 1,000 human everyday activities in realistic simulated scenes together with the OMNIGIBSON physics simulator to evaluate embodied AI.
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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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BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
BEHAVIOR-1K introduces a benchmark of 1,000 human everyday activities in realistic simulated scenes together with the OMNIGIBSON physics simulator to evaluate embodied AI.