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Found 3 papers, 2 papers with code
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
Query reformulation aims to alter noisy or ambiguous text sequences into coherent ones closer to natural language questions.
Neural Machine Translation with Monte-Carlo Tree Search
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation.
Reinforcement Learning Generalization with Surprise Minimization
Generalization remains a challenging problem for deep reinforcement learning algorithms, which are often trained and tested on the same set of deterministic game environments.
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