Playing Pokemon Red with Reinforcement Learning

Poke-env provides an environment for engaging in Pokémon Showdown battles with a focus on reinforcement learning. It boasts a straightforward API for handling ...

2023年10月18日 — The AI's reinforcement model is Pavlovian, giving the AI point-based incentives to level up Pokémon, explore new areas, win battles and beat gym ...

Our project attempts to find an optimal battle strategy for the game utilizing a model-free. Reinforcement Learning strategy. We found that a softmax.

2024年5月26日 — In this blog we will go through the basics of Reinforcement Learning and how each aspect can be applied to the Pokémon games. What is ...

由 J Wang 著作 · 2024 — Pokémon battling is a challenging domain for reinforcement learning techniques, due to the massive state space, stochasticity, and partial observability.

Reinforcement learning has also found uses in real-world applications such as self- driving cars and robotics. Pokémon battles are unique in that players are ...

2023年10月9日 — This video is absolutely insane, I am like to make machine learning models in my free time this has inspired me to try RL. Keep up the good work ...

Train RL agents to play Pokemon Red · Watch the Video on Youtube! · Join the discord server · Running the Pretrained Model Interactively · Training the Model ...