Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)

A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.

Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)

Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

Attention-guided Contrastive Role Representations for Multi-agent Reinforcement Learning(ICLR 2024)

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Proceedings of ICML 2023

LLaMA-TRL: Fine-tuning LLaMA with PPO and LoRA

The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

Google Research

Check out the new game server:

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.