Reinforcemenet Learning game of tag with 2 autonomous agents in a 2D environment. The game generation begins with a "tagger" agent whose goal is to tag the other agent, and a second "escaper" agent whose goal is to escape this tagger. The generation ends after either the tagger agent touches the escaper (in which case the tagger wins), or after a fixed number of timesteps elapsed (in which case the escaper wins). The tagger and escaper do not ever swap roles; each agent retains his goal across
Reinforcemenet Learning game of tag with 2 autonomous agents in a 2D environment. The game generation begins with a "tagger" agent whose goal is to tag the other agent, and a second "escaper" agent whose goal is to escape this tagger. The generation ends after either the tagger agent touches the escaper (in which case the tagger wins), or after a fixed number of timesteps elapsed (in which case the escaper wins). The tagger and escaper do not ever swap roles; each agent retains his goal across
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Built RESTful API with 50+ endpoints, auth, and payments integration.
Modernized legacy codebase with 40% performance improvement.
Migrated 80k LOC from JavaScript to TypeScript with full test coverage.
DataPulse
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