Poke-Env
1
Poke-Env is an open-source Python framework that provides an interactive Pokémon battle environment, baseline agent implementations, and utilities to develop, train, and evaluate AI agents on Pokémon Showdown. It supports synchronous and asynchronous battle simulations, integrates with popular reinforcement learning libraries, and offers event-driven callbacks for custom policies. Researchers and developers can easily benchmark strategies, monitor performance metrics, and deploy agents for competitive matchups.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#AI Agents
#Pokémon Showdown
#battle simulations
#Python API
#reinforcement learning
#custom strategies
#event-driven architecture
#Performance Analytics
#parallel simulations
#action logging
#algorithm design
#game state parsing
#research reproducibility
#turn-based combat
#AI Development
#baseline agents
#networking abstraction
#performance tuning
#strategy benchmarking
#interactive environment
...
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Poke-Env is an open-source Python framework that provides an interactive Pokémon battle environment, baseline agent implementations, and utilities to develop, train, and evaluate AI agents on Pokémon Showdown. It supports synchronous and asynchronous battle simulations, integrates with popular reinforcement learning libraries, and offers event-driven callbacks for custom policies. Researchers and developers can easily benchmark strategies, monitor performance metrics, and deploy agents for competitive matchups.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#AI Agents
#Pokémon Showdown
#battle simulations
#Python API
#reinforcement learning
#custom strategies
#event-driven architecture
#Performance Analytics
#parallel simulations
#action logging
#algorithm design
#game state parsing
#research reproducibility
#turn-based combat
#AI Development
#baseline agents
#networking abstraction
#performance tuning
#strategy benchmarking
#interactive environment
...
Featured
What is Poke-Env?
Poke-Env is designed to streamline the creation and evaluation of AI agents for Pokémon Showdown battles by providing a comprehensive Python interface. It handles communication with the Pokémon Showdown server, parses game state data, and manages turn-by-turn actions through an event-driven architecture. Users can extend base player classes to implement custom strategies using reinforcement learning or heuristic algorithms. The framework offers built-in support for battle simulations, parallelized matchups, and detailed logging of actions, rewards, and outcomes for reproducible research. By abstracting low-level networking and parsing tasks, Poke-Env allows AI researchers and developers to focus on algorithm design, performance tuning, and comparative benchmarking of battle strategies.
Who will use Poke-Env?
- AI researchers
- Reinforcement learning developers
- Game AI enthusiasts
- Educators and students in AI
How to use the Poke-Env?
- Step1: Install poke-env via pip: pip install poke-env
- Step2: Configure Showdown credentials or set up a local server
- Step3: Import Poke-Env classes and define a custom player inheriting from BasePlayer
- Step4: Implement choose_move and event handlers or integrate your RL model
- Step5: Run battles or a tournament loop and collect performance metrics
- Step6: Analyze logs and refine strategies based on results
Platform
- mac
- windows
- linux
Poke-Env's Core Features & Benefits
The Core Features
- Python API for Pokémon Showdown integration
- Interactive battle environment with synchronous and asynchronous simulations
- Prebuilt baseline agent implementations
- Event-driven architecture for custom policy callbacks
- Integration with reinforcement learning libraries
- Battle logging and performance analytics
The Benefits
- Accelerates AI agent development for Pokémon battles
- Standardized benchmarking and reproducibility
- Abstracts networking and parsing complexities
- Easily extensible for custom strategies
- Enables parallelized simulations for faster training
Poke-Env's Main Use Cases & Applications
- Reinforcement learning research on turn-based battles
- Benchmarking AI strategies in Pokémon Showdown
- Educational tutorials on game AI development
- AI competitions and tournaments for Pokémon agents
FAQs of Poke-Env
Poke-Env Company Information
- Poke-Env
Analytic of Poke-Env
Visit Over Time
Monthly Visits
748
Avg Visit Duration
00:10:18
Page Per Visit
4.47
Bounce Rate
40.48%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 2 Regions
United States
62.51%
United Kingdom
37.49%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Direct
47.89%
Search
38.49%
Social
6.46%
Referrals
6.17%
Paid Referrals
0.96%
Mail
0.04%
Sep 2025 - Nov 2025 Desktop Only
Poke-Env Reviews
5/5
Poke-Env's Main Competitors and alternatives?
- OpenAI Gym
- PettingZoo
- RLlib
- Gymnasium
- Stable Baselines3
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