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cs.LG2026
LLM-SAA: LLM-persona Generated Distributions for Decision-making
Jackie Baek, Yunhan Chen, Ziyu Chi +1
LLMs can generate a wealth of data, ranging from simulated personas imitating human valuations and preferences, to demand forecasts based on world knowledge. But how well do such L…
cs.LG2024
Fair Secretaries with Unfair Predictions
Eric Balkanski, Will Ma, Andreas Maggiori
Algorithms with predictions is a recent framework for decision-making under uncertainty that leverages the power of machine-learned predictions without making any assumption about…
cs.LG2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2
Through many recent successes in simulation, model-free reinforcement learning has emerged as a promising approach to solving continuous control robotic tasks. The research communi…