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