A simple RL wrapper for negotiations using negmas. This version is used for the AAMAS 2025 Tutorial on Reinforcement Learning for Automated Negotiation $ git clone ...

This tutorial documents, in as much detail as possible, the author’s experience setting up the software environment, training reinforcement learning (RL) policies, and deploying them in both ...

The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in ...