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UID:pretalx-pyconde-pydata-2024-SSKV9R@pretalx.com
DTSTART;TZID=CET:20240424T103000
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DESCRIPTION:Reinforcement learning (RL) has great potential for industrial 
 applications\, but few mature software frameworks exist to facilitate its 
 use. This talk discusses efforts to improve the software landscape for RL\
 , making it easier for researchers to contribute algorithms and for engine
 ers to apply RL in real-world settings. Specifically\, we highlight the op
 en-source library Tianshou\, which provides high-level interfaces for pain
 less RL application development along with lower-level APIs that cater to 
 the needs of researchers. By improving RL software\, we aim to accelerate 
 research progress and expand RL adoption in industry.
DTSTAMP:20260512T183806Z
LOCATION:B05-B06
SUMMARY:Reinforcement Learning: Bridging The Gap Between Research and Appli
 cations - Michael Panchenko
URL:https://pretalx.com/pyconde-pydata-2024/talk/SSKV9R/
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