Agent S: an open agentic framework that uses computers like a human
🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices
Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025
Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025
Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
Next-gen Foundation Model for Embodied AI
Xenoverse is a collection of randomized RL, Language, and general-purpose simulation environments, designed for training General-Purpose Learning Agents (GLAs).
Toy meta-RL environments for testing algorithms implementations
Source code for reproducing free random projection
Grouped-Tied Attention by Zadouri, Strauss, Dao (2025).
Explore the "frp_rl" repository to discover the Free Random Projection technique for in-context reinforcement learning. This project offers a JAX-based implementation that helps agents adapt and learn in diverse environments. 🐙🌟
Repository Switched To Xenoverse (https://github.com/FutureAGI/Xenoverse)
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