Model Selection

Multi-environment Parallel Training

# Multi-environment Parallel Training

Ppo LunarLanderContinuous V2

This is a reinforcement learning agent based on the PPO algorithm, specifically trained for the LunarLanderContinuous-v2 environment, capable of controlling the lunar lander for smooth landing.

Ppo LunarLander V2

This is a reinforcement learning model based on the PPO algorithm, specifically designed to solve the landing task in the LunarLander-v2 environment.

Ppo PongNoFrameskip V4

This is a reinforcement learning model based on the PPO algorithm, specifically designed for the PongNoFrameskip-v4 environment.

Video Processing

Ppo MountainCar V0

This is a deep reinforcement learning model based on the PPO algorithm, specifically designed to solve control problems in the MountainCar-v0 environment.

Ppo CartPole V1

This is a reinforcement learning model based on the PPO algorithm, specifically designed to solve the balancing problem in the CartPole-v1 environment.

Molecular Model

Ppo LunarLander V2

This is a reinforcement learning model based on the PPO algorithm, specifically designed to solve the landing task in the LunarLander-v2 environment.

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