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Asymmetric actor critic for image-based robot learning
Asymmetric actor critic for image-based robot learning
Sim-to-real transfer of robotic control with dynamics randomization
Sim-to-real transfer of robotic control with dynamics randomization
Domain randomization and generative models for robotic grasping
Domain randomization and generative models for robotic grasping
Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.
Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.
Competitive self-play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our Dota 2 self-play results, we have increasing confidence that self-play will be a core part of powerful AI systems in the future.
Competitive self-play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our Dota 2 self-play results, we have increasing confidence that self-play will be a core part of powerful AI systems in the future.
Hard Questions: Russian Ads Delivered to Congress - meta.com
Hard Questions: Russian Ads Delivered to Congress meta.com
Nonlinear computation in deep linear networks
Nonlinear computation in deep linear networks
Measure Brand Lift Across TV and Facebook - meta.com
Measure Brand Lift Across TV and Facebook meta.com
Contact - Tesla
Contact Tesla
Learning to model other minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning Awareness (LOLA), is a small step towards agents that model other minds.
Learning to model other minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning Awareness (LOLA), is a small step towards agents that model other minds.
UAE martyr Sultan Al Naqbi laid to rest in Ras Al Khaimah - Emirates 24|7
UAE martyr Sultan Al Naqbi laid to rest in Ras Al Khaimah Emirates 24|7
Learning with opponent-learning awareness
Find Us - Tesla
Find Us Tesla