Self Play in 7 minutes – Deep Learning (AlphaGo Zero ,OpenAI)
Reinforcement learning algorithms can train agents that solve problems in complex, interesting environments. Normally, the complexity of the trained agent is closely related to the complexity of the environment.
AlphaGo is a computer program that plays the board game Go. It was developed by Alphabet Inc.'s Google DeepMind in London in October 2015.
We discuss about :
- AlphaGo Zero (Computer program made by Google Deepmind)
- OpenAI competitive self play
Read the paper here: https://arxiv.org/pdf/1710.03748.pdf
Video courtesy (Agents): OpenAI
Please support me on Patreon: https://patreon.com/aijournal
Reinforcement learning algorithms can train agents that solve problems in complex, interesting environments. Normally, the complexity of the trained agent is closely related to the complexity of the environment.
AlphaGo is a computer program that plays the board game Go. It was developed by Alphabet Inc.’s Google DeepMind in London in October 2015.
We discuss about :
– AlphaGo Zero (Computer program made by Google Deepmind)
– OpenAI competitive self play
Read the paper here: https://arxiv.org/pdf/1710.03748.pdf
Video courtesy (Agents): OpenAI
Please support me on Patreon: https://patreon.com/aijournal
