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README.md

gym-gambling

The Gambling environment is a single agent domain featuring discrete and continuous state and action spaces. Currently, one task is supported:

Staking

This environment corresponds to the version of the gambling problem described in Example 1.2 in Algorithms for Reinforcement Learning by Csaba Szepesvari (2010).

Future tasks

Future tasks will have more complex environments that an agent can plan such as:

  • Blackjack
  • Poker
  • Roulette
  • Slots
  • Eucher

Installation

cd gym-gambling
pip install -e .

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An OpenAI Gym environment for Gambling problems

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