Modular

Features easy task and novelty design for developing and evaluating open-world agents, in single- and multi-agent scenarios.

Seamless

Works with agents of different architectures, including symbolic planning agents, reinforcement learners, and hybrid neurosymbolic architectures.

Exemplative

Offers benchmarks of state-of-the-art learning and hybrid methods for novelty handling.

Evaluative

Employs agent-agnostic evaluation metrics for novelty adaptation.