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Found 5 papers, 2 papers with code
Efficient Reinforcement Learning with Large Language Model Priors
In sequential decision-making (SDM) tasks, methods like reinforcement learning (RL) and heuristic search have made notable advances in specific cases.
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach
StarCraft II is a challenging benchmark for AI agents due to the necessity of both precise micro level operations and strategic macro awareness.
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
To that purpose, we offer a new leader-follower bilevel framework that is capable of learning to ask relevant questions (prompts) and subsequently undertaking reasoning to guide the learning of actions.
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
The Elo rating system is widely adopted to evaluate the skills of (chess) game and sports players.
An Iterative Graph Spectral Subtraction Method for Speech Enhancement
In this paper, we investigate the application of graph signal processing (GSP) theory in speech enhancement.
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