Skip to main content

MetaGym: environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning

Project description

MetaGym

MetaGym provides abundant environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning

Environments Updating

  • LiftSim:Simulator for Evelvator Dispatching (Sep, 2019)

  • Quadrotor: 3D Quadrotor simulator for different tasks (Mar, 2020)

  • Quadrupedal: Quadrupedal robot adapting to different terrains (Seq, 2021)

  • MetaMaze: 2D/3D maze generators for task generalization (Oct, 2021)

  • MetaLocomotion: Locomotion simulator with diverse geometries (June, 2022)

  • MetaLM: Meta language model dataset (Dec, 2022)

  • Bandits: Bandits task generalization (Dec, 2022)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metagym-0.2.0.dev2.tar.gz (135.0 kB view hashes)

Uploaded Source

Built Distribution

metagym-0.2.0.dev2-py2.py3-none-any.whl (18.0 MB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page