Interview for The Outline on our Dota progress:
"We wanted to work on getting bots to play complex video games because in many ways they are a step closer to the real world than games like chess and Go." trib.al/g4eJFEy

Aug 27, 2018 · 6:24 PM UTC

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Replying to @gdb
you said once that openAI did increase learning scalability to even greater levels. Previously the agent was able to learn 180 years a day via self-play. What is the new learning rate after IT is over?
Replying to @gdb
try another RL scheme is using a modificated SARSA RL structure. We propose the next loop (Feeling, feeling Reward, sensor perception, Action, new feeling, general Reward, New State or perception) feeling - an state of specific internal parameters, inner emotions.
Replying to @gdb
Your AI needs to have a sense of "risk taking" to be able to beat top tier teams. "Safe plays" is not that rewarding in Dota. Item like Divine Rapier is one thing i want to see the AI utilize next year (if there is any next year).