This is the Linux app named Diplomacy Cicero whose latest release can be downloaded as diplomacy_cicerosourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Diplomacy Cicero with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Diplomacy Cicero
DESCRIPTION
The project is the codebase for an AI agent named Cicero developed by Facebook Research. It is designed to play the board game Diplomacy by combining open-domain natural language negotiation with strategic planning. The repository includes training code, model checkpoints, and infrastructure for both language modelling (via the ParlAI framework) and reinforcement learning for strategy agents. It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use.
Features
- Implements Cicero, the first AI to achieve human-level Diplomacy play with strategic dialogue
- Combines large language modeling with deep reinforcement learning and planning
- Includes code for both full-press (dialogue) and no-press (non-dialogue) Diplomacy agents
- Uses ParlAI for language understanding and generation and custom RL for game strategy
- Provides tools for simulating games, benchmarking, and visualizing game progress
- Includes extensive configs, pre-trained models, and modular test frameworks
Programming Language
C++, Python, Unix Shell
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/diplomacy-cicero.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
