FrozenLake Demo

A minimal, clean implementation of the FrozenLake environment, inspired by Gymnasium.

Installation

You can install this package locally using pip:

pip install -e .

Usage

import gymnasium as gym
from frozenlake_demo import FrozenLakeEnv

# Initialize environment
env = FrozenLakeEnv(render_mode="human")
obs, info = env.reset(seed=42)

# Run a simple loop
for _ in range(10):
    action = env.action_space.sample()  # Random action
    obs, reward, terminated, truncated, info = env.step(action)
    
    if terminated or truncated:
        obs, info = env.reset()

env.close()

Environment Details

Action Space: Discrete(4) (Left=0, Down=1, Right=2, Up=3)
Observation Space: Discrete(16) (Grid index 0-15)
Map: 4x4 Grid with Start(S), Frozen(F), Hole(H), and Goal(G).

Metadata

Release files for frozenlake-demo 0.0.3

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Source distribution for frozenlake-demo 0.0.3
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Table of built distributions (wheels) for frozenlake-demo 0.0.3
File	Interpreter	ABI	Platform	Reset
frozenlake_demo-0.0.3-py3-none-any.whl 4.1 kB Dec 19, 2025 Without provenance	Python 3	none	any	Details

Total release size: 7.8 kB

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Tags	Python 3
SHA-256 checksum How to use checksums	`ce7405853eca25eea33c0afeaf8efa42c2a69f9968e2b57172c01cf3251dedf2`
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Upload date	Dec 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.11.9`

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0.0.3 This release

Dec 19, 2025 2 release files No provenance

0.0.2