malmo-challenge
Agent Trainer
An AI project that aims to develop an agent that can navigate and interact with a Minecraft environment while learning from its opponents' strategies
Malmo Collaborative AI Challenge - Team Pig Catcher
65 stars
6 watching
8 forks
Language: Python
last commit: over 7 years ago deep-learningdeep-reinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
scitator/animal-olympics-starter-kit | Provides an API and environment for training AI agents in Unity, using the Unity ML-Agents package | 3 |
packtpublishing/hands-on-intelligent-agents-with-openai-gym | Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 374 |
kwaikeg/kwaiagents | An agent system designed to simulate human-like decision-making with Large Language Models (LLMs) and machine learning techniques | 1,113 |
multiagentlearning/playground | A platform for developing and testing AI agents in multi-agent learning environments | 767 |
callummcdougall/arena_3.0 | A collection of exercises and Streamlit pages for learning advanced AI concepts | 373 |
thousandbirdsinc/chidori | An AI runtime framework providing tools for building and debugging durable AI agents with support for Python and JavaScript code execution | 1,282 |
samuraigpt/gpt-agent | Enables collaboration between AI agents to solve tasks and interact with each other | 1,171 |
scotchkorean27/showdownaiclient | A framework for creating AI agents for Pokémon battles | 14 |
geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,700 |
eth-sri/diffai | Trains neural networks to be provably robust against adversarial examples using abstract interpretation techniques. | 219 |
mindagent/mindagent | An open-source platform for developing and testing AI-powered game agents | 79 |
wyy-123-xyy/ra-fed | A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs | 6 |
keplr-io/hera | Enables real-time training and evaluation of machine learning models with remote dashboard visualization. | 487 |
madrylab/robustness | A library for training and evaluating neural networks with a focus on adversarial robustness. | 921 |
intelligent-machine-learning/dlrover | Automates large-scale deep learning training on distributed clusters, providing fault tolerance and fast recovery from failures. | 1,302 |