Build, evaluate and train General Multi-Agent Assistance with ease
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Updated
Aug 7, 2025 - Python
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
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