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abijith-rl

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Reinforcement learning demos and utilities

Versions collected1
Direct dependencies15From release 1.1.0
Last observed20 Oct, 17:25 UTC

README

Version 1.1.0 documentation

Abijith RL

Small reinforcement learning demos built on gymnasium.

Install

pip install abijith-rl

Usage

import abijith_rl as rl

mc_df = rl.montecarlo_code(num_episodes=200)
print(mc_df.head())

# Prints the full demo code string
rl.montecarlo()

td_df = rl.td_prediction(num_episodes=50)
print(td_df.head())

sarsa_df = rl.sarsa(num_episodes=200)
print(sarsa_df.head())

q_df = rl.q_learning(num_episodes=200)
print(q_df.head())

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Versions 1

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VersionPublishedDirect dependenciesOpen version
1.1.023 May 202615

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Observed since 20 Oct, 17:25 UTC

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package:cde6653bca7bfb48e3a8bf38a870f7ac3ddcc1e68e0abc334cd6c81049a1d2d1