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SUMMARY:RxEnvironments: Reactive multi-agent environments - Wouter Nuijten
DTSTART;TZID=Europe/Amsterdam:20240712T160000
DTEND;TZID=Europe/Amsterdam:20240712T163000
DTSTAMP:20260817T225857Z
UID:pretalx-juliacon2024-83ZWZN@pretalx.com
DESCRIPTION:In reinforcement learning problems\, interactions between an a
 gent and its environment are simulated in discrete time steps: after a pre
 -determined amount of time passes\, the agent and environment exchange obs
 ervations and actions that are used to generate new observations for the a
 gent\, etc. RxEnvironments.jl changes this assumption and uses a Reactive 
 Programming framework to model agent-environment interactions\, allowing i
 nteractions at any time and natively supporting multi-agent environments
LOCATION:REPL (2\, main stage)
URL:https://pretalx.com/juliacon2024/talk/83ZWZN/
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