Unified meta-reinforcement learning benchmark for fast adaptation with State Space Models (SSM), test-time improvement, and modular policy orchestration. Includes automated training, evaluation, adaptation, and CI/CD pipelines.
reinforcement-learning adaptation state-space-models meta-reinforcement-learning recursive-self-improvement metarl agi-architecture
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Updated
Nov 1, 2025 - Python