The Environment I built to study Reinforcement Learning + Pokemon Showdown

Last update: Jan 16, 2022

Overview

pokemon-showdown-rl-environment

The Environment I built to study Reinforcement Learning + Pokemon Showdown

Been a while since I ran this.

Think it is limited to showdown a specific checkout https://github.com/Zarel/Pokemon-Showdown checkout 529fdaaa685d8aa695fba01a80cccb3c1d761f7c

Post clone commands

After cloning, build the Pokemon showdown repo. Only needs to be done once cd Pokemon-Showdown/ node build --force

I believe python3 agent.py is what you want. I will look through this later and let you know how to run it. Probably will clean it up too.

pokemon-showdown-rl-environment is free for most use cases and the source is available. The source code is published under the Server Side Public License (SSPL) v1.

Owner

The Emperor of Pokemon Ai Will change profile pic after it has served it's purpose.

GitHub Repository

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The Environment I built to study Reinforcement Learning + Pokemon Showdown

Related tags

Overview

pokemon-showdown-rl-environment

Been a while since I ran this.

Post clone commands

Owner

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Uncertain natural language inference

This is a official repository of SimViT.

Group-Free 3D Object Detection via Transformers

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Official pytorch implementation of "Feature Stylization and Domain-aware Contrastive Loss for Domain Generalization" ACMMM 2021 (Oral)

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A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

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Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

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