This indicates that reinforcement learning can yield _____ with large but achievable scale — without fundamental advances, contrary to our own expectations upon starting the project.
Answer: long-term planning
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OpenAI
- The hope is that systems which _____ complex video games will be highly general, with applications outside of games.
- Relative to previous AI milestones like Chess or Go, complex video games start to capture the _____ and continuous nature of the real world.
- One AI milestone is to exceed _____ in a complex video game like StarCraft or Dota.
- Follow us on Twitch to view the live broadcast, or request an invite to attend _____!
- To benchmark our progress, we'll _____ a match versus top players on August 5th.
- Using a separate LSTM for each hero and no human data, it learns recognizable _____.
- It trains using a scaled-up version of Proximal Policy Optimization running on 256 GPUs and 128,000 CPU cores — a larger-scale version of the system we built to play the much-simpler _____ of the game last year.
- OpenAI Five plays 180 years worth of games _____ every day, learning via self-play.
- We may not succeed: Dota 2 is one of the most _____ esports games in the world, with creative and motivated professionals who train year-round to earn part of Dota's annual $40M prize pool (the largest of any esports game).
- While today we play with _____, we aim to beat a team of top professionals at The International in August subject only to a limited set of heroes.
- Our team of five _____, OpenAI Five, has started to defeat amateur human teams at Dota 2.