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Coasty

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.

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Environments

Living worlds for agents.

A useful world gives every action context, consequences and a place in time.

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Context

Internet archives for agents.

Preserved web evidence becomes useful when its origin, time and limitations remain visible.

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Learning

RL environments for agents.

A learning environment should make actions possible and their consequences measurable.

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Bring it into practice.

Models, environments, data and evaluation. Explore how the layers fit together.

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