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SUMMARY:Talk of Dr Olivier Bachem
DTSTART:20191003T111500
DTEND:20191003T121500
DTSTAMP:20260610T101303Z
UID:7e83f040504130c83bfee43112222d2f5d3315c810fc07c0ef8fc0ee
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Olivier Bachem\nTitle:\nGoogle Research Football: A Novel R
 einforcement Learning Environment\n\nAbstract:\nRecent progress in the fie
 ld of reinforcement learning has been accelerated by virtual learning envi
 ronments such as video games\, where novel algorithms and ideas can be qui
 ckly tested in a safe and reproducible manner. We introduce the Google Res
 earch Football Environment\, a new reinforcement learning environment wher
 e agents are trained to play football in an advanced\, physics-based 3D si
 mulator. The resulting environment is challenging\, easy to use and custom
 ize\, and it is available under a permissive open-source license. In addit
 ion\, it provides support for multiplayer and multi-agent experiments. We 
 propose three full-game scenarios of varying difficulty with the Football 
 Benchmarks and report baseline results for three commonly used reinforceme
 nt algorithms (IMPALA\, PPO\, and Ape-X DQN). We also provide a diverse se
 t of simpler scenarios with the Football Academy and showcase several prom
 ising research directions.\n\nBio:\nOlivier Bachem is a research scientist
  in the Google Brain Team interested in fundamental problems in machine le
 arning and artificial intelligence. He received his PhD from ETH Zurich wh
 ere he was supervised by Andreas Krause in the Learning & Adaptive Systems
  group. In his dissertation\, he investigated coresets - small summaries o
 f large data sets with theoretical guarantees - and other sampling methods
  for large-scale clustering. He also held a Google PhD Fellowship in Machi
 ne Learning and was an Associated Fellow at the Max Planck ETH Center for 
 Learning Systems. Before that\, he obtained a bachelor’s degree in econo
 mics (University of St. Gallen)\, a master’s degree in quantitative fina
 nce (ETH Zurich & University of Zurich) as well as a master’s degree in 
 statistics (ETH Zurich) where he was awarded an ETH medal for his master t
 hesis.
LOCATION:INR 219 https://plan.epfl.ch/?room==INR%20219
STATUS:CONFIRMED
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