activity
20102024
most citedA Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

2.1k citations · 9.2k across the 77 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 18 cited

Reinforced Self-Training (ReST) for Language Modeling

Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan +11

Reinforcement learning from human feedback (RLHF) can improve the quality of large language model's (LLM) outputs by aligning them with human preferences. We propose a simple algor…

cs.LG2023★ 5 cited

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan +21

StarCraft II is one of the most challenging simulated reinforcement learning environments; it is partially observable, stochastic, multi-agent, and mastering StarCraft II requires…