Summary of Tractable Offline Learning Of Regular Decision Processes, by Ahana Deb et al.
Tractable Offline Learning of Regular Decision Processesby Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca,…
Summary of Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking For Mission-critical Applications, by Hassan El Alami and Danda B. Rawat
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applicationsby Hassan El Alami, Danda B.…
Summary of Abstractive Text Summarization: State Of the Art, Challenges, and Improvements, by Hassan Shakil et al.
Abstractive Text Summarization: State of the Art, Challenges, and Improvementsby Hassan Shakil, Ahmad Farooq, Jugal…
Summary of Large Language Models As Efficient Reward Function Searchers For Custom-environment Multi-objective Reinforcement Learning, by Guanwen Xie et al.
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learningby Guanwen Xie,…
Summary of Multi-agent Reinforcement Learning For Joint Police Patrol and Dispatch, by Matthew Repasky et al.
Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatchby Matthew Repasky, He Wang, Yao XieFirst…
Summary of Efficient Llm Context Distillation, by Rajesh Upadhayayaya et al.
Efficient LLM Context Distillationby Rajesh Upadhayayaya, Zachary Smith, Chritopher Kottmyer, Manish Raj OstiFirst submitted to…
Summary of Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning, by Hongyuan Su et al.
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learningby Hongyuan Su, Yu Zheng, Jingtao Ding,…
Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…
Summary of Enhancing Sample Efficiency and Exploration in Reinforcement Learning Through the Integration Of Diffusion Models and Proximal Policy Optimization, by Gao Tianci et al.
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and…
Summary of Real-time Recurrent Learning Using Trace Units in Reinforcement Learning, by Esraa Elelimy et al.
Real-Time Recurrent Learning using Trace Units in Reinforcement Learningby Esraa Elelimy, Adam White, Michael Bowling,…