Ideas for building agents
Worlds to learn from.
Practical guides to shared intelligence, useful environments and the evidence behind them.
Explore multi-agent coordination, living worlds, internet archives and reinforcement learning environments. Each guide connects a clear concept to a worked design example and primary references.
Coordination
Multi-agent systems.
Useful coordination starts with a clear account of who can see, decide and change what.
Read guide EnvironmentsLiving worlds for agents.
A useful world gives every action context, consequences and a place in time.
Read guide ContextInternet archives for agents.
Preserved web evidence becomes useful when its origin, time and limitations remain visible.
Read guide LearningRL environments for agents.
A learning environment should make actions possible and their consequences measurable.
Read guideBring it into practice.
Models, environments, data and evaluation. Explore how the layers fit together.
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