7 citations · 21 across the 6 of their papers we have counts for
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cs.LG2021★ 5 cited
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen, Ervin Teng, Vincent-Pierre Berges +5
The creation and destruction of agents in cooperative multi-agent reinforcement learning (MARL) is a critically under-explored area of research. Current MARL algorithms often assum…
cs.CV2021★ 2 cited
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents
Ervin Teng, Bob Iannucci
Learning requires both study and curiosity. A good learner is not only good at extracting information from the data given to it, but also skilled at finding the right new informati…