most citedEfficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 1 cited

Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm

Nikolai Rozanov

Reinforcement learning (RL) and Deep Reinforcement Learning (DRL), in particular, have the potential to disrupt and are already changing the way we interact with the world. One of…

cs.CL2023

Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?

Dominic Petrak, Nafise Sadat Moosavi, Ye Tian +2

Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational…