A Composable Specification Language for Reinforcement Learning Tasks

NeurIPS 2019 Kishor JothimuruganRajeev AlurOsbert Bastani

Reinforcement learning is a promising approach for learning control policies for robot tasks. However, specifying complex tasks (e.g., with multiple objectives and safety constraints) can be challenging, since the user must design a reward function that encodes the entire task... (read more)

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