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Found 2 papers, 2 papers with code
Domain Private Transformers for Multi-Domain Dialog Systems
Large, general purpose language models have demonstrated impressive performance across many different conversational domains.
Exponential Family Model-Based Reinforcement Learning via Score Matching
We propose an optimistic model-based algorithm, dubbed SMRL, for finite-horizon episodic reinforcement learning (RL) when the transition model is specified by exponential family distributions with $d$ parameters and the reward is bounded and known.
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