legalaspro/unity_multiagent_rl
Multi-agent reinforcement learning framework for Unity environments. Implements MAPPO, MASAC, MATD3, and MADDPG with comprehensive evaluation tools. Features sample-efficient training, competitive analysis, and pre-trained models achieving great performance in Tennis and Soccer environments.
Platform-specific configuration:
{
"mcpServers": {
"unity_multiagent_rl": {
"command": "npx",
"args": [
"-y",
"unity_multiagent_rl"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
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