Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

PAIR.withgoogle.com and friend's work on interpretability methods

Code for "Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning"

SPs for configuring "self-debugging" AI assistants and agents

A Survey of Reinforcement Learning for Large Reasoning Models

The official implementation of the paper "Mem-α: Learning Memory Construction via Reinforcement Learning"

A framework for few-shot evaluation of language models.

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

Controllable Emotion Generation with Emotion Vectors

Empowering RAG with a memory-based data interface for all-purpose applications!

Democratizing Reinforcement Learning for LLMs

AgenTracer: A Lightweight Failure Attributor for Agentic Systems

Code for NeurIPS 2024 paper "AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning"

A Comprehensive Library for Memory of LLM-based Agents.

A Universal Platform for Training and Evaluation of Mobile Interaction

[NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents

Self-Evolving Agent via Experience-Driven Lifelong Learning

DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling

This repository collects awesome survey, resource, and paper for lifelong learning LLM agents

Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

a Chinese QA dataset on the lyrics of JJ Lin's songs

[ICML 2025] Teaching Language Models to Critique via Reinforcement Learning