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This package contains implementations of various RL algorithms for continuous control tasks simulated with MuJoCo.
The main features of aravindr93/mjrl are: Reinforcement Learning Environments, World Models.
Open-source alternatives to aravindr93/mjrl include: maximecb/gym-minigrid — Simple and easily configurable grid world environments for reinforcement learning. openai/gym — Gym is a reinforcement learning environment toolkit and agent simulation framework. It provides a standardized API and… danijar/crafter — Status: Stable release. farama-foundation/metaworld — Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning. minerllabs/minerl — Python package providing easy to use Gym environments and data access for training agents in Minecraft. openai/mujoco-py — MuJoCo is a physics engine which can do very detailed efficient simulations with contacts. This library lets you use…
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Simple and easily configurable grid world environments for reinforcement learning
Python package providing easy to use Gym environments and data access for training agents in Minecraft.
