Lists (14)
Stars
A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents.
OpenClaw-RL: Train any agent simply by talking
[arXiv:2510.06261] "AlphaApollo: A System for Deep Agentic Reasoning"
A curated list of papers and resources based on the survey "Agentic Reasoning for Large Language Models"
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
This project aim to share the knowledge and code concerning generative models, including: GAN, Diffusion, VAE.
Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!
MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
A benchmark for evaluating LLMs on open-ended CS problems. Exploring the Next Frontier of Computer Science.
ThetaEvolve: Test-time Learning on Open Problems, enabling RL training on AlphaEvolve/OpenEvolve and emphasizing scaling test-time compute
The open-source code for the NeurIPS 2025 paper, "Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning."
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Open-source implementation of AlphaEvolve
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution 🧬
KDD2025, Generative Next POI Recommendation with Semantic ID
[NeurIPS 2025] CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
The code for NeurIPS 2025 paper "A-Mem: Agentic Memory for LLM Agents"
A Survey of Personalization: From RAG to Agent
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
This repository introduce a comprehensive paper list, datasets, methods and tools for memory research.