In our new @l4dc_conf work, we address the problem of robust and safe policy synthesis under complex tasks in adversarial settings against unknown dynamic agents.
We propose a game-theoretic framework to ensure the task is satisfied as much as possible even in the worst case 1/n
How can we learn effective decision-making in cooperative-competitive multi-agent systems? We answer this question in our IROS full-day workshop “MAD-Games: Multi-Agent Dynamic Games” We are welcome to receive workshop paper submissions: https://t.co/NL7ACBWiRF
We're hosting MAD-Games: Multi-Agent Dynamic Games workshop at IROS'23 on learning and decision-making in cooperative-competitive multi-agent systems.
Submit your paper here: https://t.co/tr3uAwgPkI
F1TENTH GPs will be at 3 conferences this summer!
1⃣#CPSWeek May 8 - 9 in San Antonio TX, register: https://t.co/E9GCUrhMzp
2⃣ @ieee_ras_icra May 29 - June 1 in London, UK, register: https://t.co/rrd1vfhVxY
3⃣ @IV_IEEE June 4 - 7 in Anchorage AK, register: https://t.co/bAfm4rskT7
1/ New paper! https://t.co/E1iAwyqr3g with @_szhang@aaronclauset @DanLarremore.
🎓 We analyzed all 295K tenure-track faculty at US PhD-granting universities in 10,612 departments over 10 years to quantify hierarchy and dynamics in US faculty hiring and retention.
🦥 A summary: