aravindr93/mjrl

Reinforcement learning algorithms for MuJoCo tasks

What it solves

It provides a standardized set of reinforcement learning (RL) algorithms specifically designed for continuous control tasks within the MuJoCo physics simulation environment.

How it works

The package implements various RL algorithms using PyTorch, allowing researchers to train agents to perform complex physical movements in a simulated environment.

Who it’s for

Researchers and developers working on robotics and continuous control using the MuJoCo simulator.

Highlights

  • Implements multiple RL algorithms for continuous control.
  • Built on PyTorch and compatible with OpenAI Gym.
  • Supports complex dexterous manipulation tasks.

Related

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