Player-1-Gym
A training suite comprising 16 synthetic 2D and 3D environments that provide programmatically verifiable reward signals and support randomized observation and control dynamics, used for PPO multi-environment reinforcement learning.
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Player-1-Gym is a training suite containing sixteen synthetic 2D and 3D environments, each providing a programmatically verifiable reward signal and supporting randomized observations and control dynamics.
Player-1-Gym uses the PPO algorithm for multi-environment reinforcement learning training.
All Facts (2)
Player-1-Gym is a training suite containing sixteen synthetic 2D and 3D environments, each providing a programmatically verifiable reward signal and supporting randomized observations and control dynamics.
50%UnverifiedPlayer-1-Gym uses the PPO algorithm for multi-environment reinforcement learning training.
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