Minimal Diplomacy Environment

A simplified Diplomacy RL training environment for Atropos that integrates with AI_Diplomacy.

Overview

This minimal implementation provides:

• Basic game integration via AI_Diplomacy submodule
• Parallel rollouts with configurable group_size
• LLM request interception through AtroposClient proxy
• Simple supply center based scoring
• No complex features (no GRPO, memory systems, or advanced scoring)

Architecture

Atropos Policy Server
        ↓
AtroposClientMinimal (proxy)
        ↓
AI_Diplomacy Game Engine
        ↓
Game Execution

Quick Start

1. Install dependencies:

pip install -r requirements.txt
cd AI_Diplomacy
pip install -e .

2. Start your Atropos policy server on port 8000

3. Run the environment:

python diplomacy_env_minimal.py serve

Configuration

Key settings in DiplomacyEnvMinimalConfig:

• max_game_turns: Number of game turns (default: 10)
• training_power: Which power the RL agent controls (default: "FRANCE")
• group_size: Number of parallel games per trajectory (default: 4)

How It Works

1. Parallel Rollouts: Each training step runs group_size games with the same initial seed
2. LLM Interception: AtroposClientMinimal intercepts all LLM calls from AI_Diplomacy
3. Trajectory Collection: Game interactions are collected and scored
4. Best Selection: The highest scoring trajectory is returned for training