Exploring Atari Space Invaders Trained With Proximal Policy Optimization
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- Two Artifically Intelligent agents are driving rackets to play tennis. The agents are using Gaussian Actor Critic Network and were ...
- Space invaders
- A reaching task with multiple goals are not impressively solved with current state of the art RL algorithms.
- With a single goal, it is relatively easy to learn a reaching task with PPO.
- This agent was
In-Depth Information on Atari Space Invaders Trained With Proximal Policy Optimization
Reinforcement learning agent Proximal Policy Optimization Resolving Space Invader Atari Game Using Deep Reinforcement Learning. Atari 2600
PPO experiment of Space Invaders environment
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