GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/legalaspro%2Funity_multiagent_rl
PURL: pkg:github/legalaspro/unity_multiagent_rl
Stars: 4
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 69.4 MB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: about 2 months ago
Pushed at: 2 months ago
Last synced at: about 1 month ago
Topics: ai, collaborative-learning, competitive-intelligence, deep-learning, machine-learning, maddpg, mappo, marl, masac, matd3, multi-agent, multi-agent-reinforcement-learning, pytorch, reinforcement-learning, soccer, tennis, unity