Summary of Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search, By Nicola Dainese et al.
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Searchby Nicola…
Summary of Omni-epic: Open-endedness Via Models Of Human Notions Of Interestingness with Environments Programmed in Code, by Maxence Faldor et al.
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Codeby Maxence…
Summary of Mudreamer: Learning Predictive World Models Without Reconstruction, by Maxime Burchi et al.
MuDreamer: Learning Predictive World Models without Reconstructionby Maxime Burchi, Radu TimofteFirst submitted to arxiv on:…
Summary of Deep Reinforcement Learning For 5*5 Multiplayer Go, by Brahim Driss et al.
Deep Reinforcement Learning for 5*5 Multiplayer Goby Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine,…
Summary of Deepseek-prover: Advancing Theorem Proving in Llms Through Large-scale Synthetic Data, by Huajian Xin et al.
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Databy Huajian Xin, Daya Guo, Zhihong…
Summary of Learning to Transform Dynamically For Better Adversarial Transferability, by Rongyi Zhu et al.
Learning to Transform Dynamically for Better Adversarial Transferabilityby Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo…
Summary of Concertorl: An Innovative Time-interleaved Reinforcement Learning Approach For Enhanced Control in Direct-drive Tandem-wing Vehicles, by Minghao Zhang et al.
ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehiclesby Minghao…
Summary of Traffic Control Using Intelligent Timing Of Traffic Lights with Reinforcement Learning Technique and Real-time Processing Of Surveillance Camera Images, by Mahdi Jamebozorg et al.
Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing…
Summary of Metareflection: Learning Instructions For Language Agents Using Past Reflections, by Priyanshu Gupta et al.
MetaReflection: Learning Instructions for Language Agents using Past Reflectionsby Priyanshu Gupta, Shashank Kirtania, Ananya Singha,…
Summary of Im-rag: Multi-round Retrieval-augmented Generation Through Learning Inner Monologues, by Diji Yang et al.
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologuesby Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan…