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Introduction

  • Basic Usage
  • Compatibility with Gym
  • v21 to v26 Migration Guide

API

  • Env
  • Registry
  • Spaces
    • Fundamental Spaces
    • Composite Spaces
    • Spaces Utils
    • Spaces Vector Utils
  • Wrappers
    • Misc Wrappers
    • Action Wrappers
    • Observation Wrappers
    • Reward Wrappers
  • Vector
  • Utils
  • Experimental
    • Functional Environment
    • Wrappers
    • Vectorizing Environment
    • Vector Environment Wrappers

Environments

  • Classic Control
    • Acrobot
    • Cart Pole
    • Mountain Car Continuous
    • Mountain Car
    • Pendulum
  • Box2D
    • Bipedal Walker
    • Car Racing
    • Lunar Lander
  • Toy Text
    • Blackjack
    • Taxi
    • Cliff Walking
    • Frozen Lake
  • MuJoCo
    • Ant
    • Half Cheetah
    • Hopper
    • Humanoid Standup
    • Humanoid
    • Inverted Double Pendulum
    • Inverted Pendulum
    • Reacher
    • Swimmer
    • Pusher
    • Walker2D
  • Atari
    • Adventure
    • Air Raid
    • Alien
    • Amidar
    • Assault
    • Asterix
    • Asteroids
    • Atlantis
    • Bank Heist
    • Battle Zone
    • Beam Rider
    • Berzerk
    • Bowling
    • Boxing
    • Breakout
    • Carnival
    • Centipede
    • Chopper Command
    • Crazy Climber
    • Defender
    • Demon Attack
    • Double Dunk
    • Elevator Action
    • Enduro
    • FishingDerby
    • Freeway
    • Frostbite
    • Gopher
    • Gravitar
    • Hero
    • IceHockey
    • Jamesbond
    • JourneyEscape
    • Kangaroo
    • Krull
    • Kung Fu Master
    • Montezuma Revenge
    • Ms Pacman
    • Name This Game
    • Phoenix
    • Pitfall
    • Pong
    • Pooyan
    • PrivateEye
    • Qbert
    • Riverraid
    • Road Runner
    • Robot Tank
    • Seaquest
    • Skiings
    • Solaris
    • SpaceInvaders
    • StarGunner
    • Tennis
    • TimePilot
    • Tutankham
    • Up n’ Down
    • Venture
    • Video Pinball
    • Wizard of Wor
    • Zaxxon
  • Third-party Environments

Tutorials

  • Gymnasium Basics
    • Handling Time Limits
    • Implementing Custom Wrappers
    • Make your own custom environment
    • Training A2C with Vector Envs and Domain Randomization
  • Training Agents
    • Training using REINFORCE for Mujoco
    • Solving Blackjack with Q-Learning

Development

  • Github
  • Release Notes
  • Contribute to the Docs
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Training Agents#

Training using REINFORCE for Mujoco

Training using REINFORCE for Mujoco

Training using REINFORCE for Mujoco
Solving Blackjack with Q-Learning

Solving Blackjack with Q-Learning

Solving Blackjack with Q-Learning
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Training using REINFORCE for Mujoco
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Training A2C with Vector Envs and Domain Randomization
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