🧠AI can learn complex strategies by using reinforcement learning and trial and error.
🎮The AI starts with no knowledge of the game and can only press random buttons.
🚀Through exploration and curiosity, the AI discovers new areas and gains rewards.
💡The AI adapts its strategies based on new experiences and evolves its Pokémon.
🤖The AI's failures and successes parallel human experiences and teach us valuable lessons.
How does the AI interact with the game?
—The AI takes in screen images and chooses which buttons to press, optimizing its choices using reinforcement learning.
How does the AI learn?
—The AI learns through trial and error, receiving high-level feedback on how well it's playing the game.
Does the AI explore the game world?
—Yes, the AI explores new locations in the game and seeks out novelty as a form of reward.
Does the AI battle other trainers?
—Yes, the AI battles other trainers, catches Pokémon, and levels them up.
What are some challenges the AI faces?
—The AI faces challenges such as learning new strategies, dealing with difficult battles, and evolving its Pokémon.
00:00An AI with no knowledge of Pokémon starts by pressing random buttons in the game.
03:59The AI gains rewards for discovering new locations and seeks out novelty.
06:47After many training iterations, the AI defeats its first gym leader.
12:11The AI learns to use alternative moves and strategies in battles.
13:31The AI explores new areas and even purchases Magikarp to gain levels.
15:00The AI continues to explore and develop unique strategies.
