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A repo lists papers related to LLM based agent
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
A free, open-source Java library for automata learning algorithms
A Quick Research of Active Automata Learning
A learning environment for man-made Interactive Fiction games.
Simple language-driven navigation tasks for studying compositional learning
SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. SmartPlay is designed to be easy to use, and to support futu…
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Train transformer language models with reinforcement learning.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX…
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
A collection of reference environments for offline reinforcement learning
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Bypass Paywalls web browser extension for Chrome and Firefox.
An elegant PyTorch deep reinforcement learning library.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
A toolkit for developing and comparing reinforcement learning algorithms.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
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