🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
Build, evaluate and train General Multi-Agent Assistance with ease
This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.
[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
A quick intro to using Unity's MLAgents for MArch'20 students in University College London
A PyTorch re-implementation of World Models (Ha & Schmidhuber, 2018) for CarRacing-v3. The agent solves the track by "dreaming"—using a VAE for perception, an MDN-RNN for memory, and CMA-ES for controller evolution.
Explore AI agent patterns, design principles, and infrastructure to build and deploy practical, user-friendly intelligent agents.
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