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Found 3 papers, 1 papers with code
Explaining Reinforcement Learning Policies through Counterfactual Trajectories
In order for humans to confidently decide where to employ RL agents for real-world tasks, a human developer must validate that the agent will perform well at test-time.
Domain Knowledge in Exploration Noise in AlphaZero
The AlphaZero algorithm has achieved remarkable success in a variety of sequential, perfect information games including Go, Shogi and Chess.
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model
The task of translating between programming languages differs from the challenge of translating natural languages in that programming languages are designed with a far more rigid set of structural and grammatical rules.
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