Proximal Policy Optimization (PPO)

6 Posts

Explanation of Multi-Modal Delay Randomization (MMDR)
Proximal Policy Optimization (PPO)

Coordinating Robot Limbs: Machine learning improves robot dog reaction time.

A dog doesn’t think twice about fetching a tennis ball, but an autonomous robot typically suffers from delays between perception and action. A new machine-learning model helped a quadruped robot coordinate its sensors and actuators.
Tax planning model AI Economist
Proximal Policy Optimization (PPO)

Tax Relief the AI Way: AI Economist creates optimal tax rate.

Nothing is certain except death and taxes, the saying goes — but how to make taxes fair and beneficial remains an open question. New research aims to answer it.
Animated chart shows how AI can help robots locate key spatial coordinates.
Proximal Policy Optimization (PPO)

Finding Useful Points in Space: Keypoint3D Helps Robots Locate Spatial Coordinates

A new machine learning method aims to improve a machine’s ability to determine and locate points of interest.
Graphs related to world models
Proximal Policy Optimization (PPO)

It’s a Small World Model After All

World models, which learn a compressed representation of a dynamic environment like, say, a video game, have delivered top results in reinforcement learning. A new method makes them much smaller.
Takes from Agence, an interactive VR project
Proximal Policy Optimization (PPO)

RL Agents: SOS!

A new multimedia experience lets audience members help artificially intelligent creatures work together to survive. Agence, an interactive virtual reality (VR) project blends audience participation with reinforcement learning to create an experience that’s half film, half video game.
Google Research Football video
Proximal Policy Optimization (PPO)

Get Your Kicks With DRL

Researchers typically test deep reinforcement learning algorithms on games from Space Invaders to StarCraft. The Google Brain team in Zurich adds another option: football, also known as soccer.

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