NS-Gym
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Contents

  • Installation
  • Quickstart Guide
  • Core Concepts
  • Tutorials
  • Environments
    • Classic Control Environments
      • CartPole Environment
      • Acrobot Environment
      • Pendulum Environment
      • MountainCar Environment
    • Mujoco Environments
      • Ant Environment
      • HalfCheetah Environment
      • Hopper Environment
      • Humanoid Standup Environment
      • Humanoid Environment
      • Inverted Double Pendulum Environment
      • Inverted Pendulum Environment
      • Pusher Environment
      • Reacher Environment
      • Swimmer Environment
    • Grid World Environments
      • FrozenLake Environment
      • CliffWalking Environment
      • Non-Stationary Bridge Environment
    • Custom Environments for NS-Gym
      • Vehicle Tracking Environment
  • NS-Gym Algorithms
  • NS-Gym Leaderboard
  • API Reference
    • NS-Gym Base Module
    • NS-Gym Wrappers Module
    • NS-Gym Utils Module
    • NS-Gym Update Functions Module
    • NS-Gym Scheduler Module
    • NS-Gym Evaluation Module
    • NS-Gym Benchmark Algorithms
    • NS-Gym Context Switching Utilities
  1. NS-Gym /
  2. Environments /
  3. Mujoco Environments

Mujoco EnvironmentsΒΆ

This section contains all Mujoco environments wrapped by ns_gym.

  • Ant Environment
  • HalfCheetah Environment
  • Hopper Environment
  • Humanoid Standup Environment
  • Humanoid Environment
  • Inverted Double Pendulum Environment
  • Inverted Pendulum Environment
  • Pusher Environment
  • Reacher Environment
  • Swimmer Environment
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MountainCar Environment
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Ant Environment

2025, Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang, Kyle Hollins Wray, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay

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