A long-form explainer of Deep SPI: why ordinary on-policy auxiliary losses break after policy updates, how world models and neighborhood-constrained updates fix this, and what the resulting algorithm ...

Join this exciting interdisciplinary research project at the Centre for Complex Systems Studies and study causal agent-based modelling!

Synthesizing controllers in large domains from verified world models and reinforcement learning policy composition.

Empirical design in reinforcement learning is no small task. Running good experiments requires attention to detail and at times significant computational resources. While compute resources available p...