RLSchool
RLSchool provides abundant environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning
Environments Updating
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LiftSim：Simulator for Evelvator Dispatching (Sep, 2019)
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Quadrotor: 3D Quadrotor simulator for different tasks (Mar, 2020)
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Quadrupedal: Quadrupedal robot adapting to different terrains (Seq, 2021)
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MetaMaze: Meta maze environment for 3D visual navigation (Oct, 2021)
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Navigator2D: Simple 2D navigator meta environment (Oct, 2021)
1 maintainer
Metadata
1 maintainer
Release files for rlschool 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rlschool-1.0.3-1.tar.gz | 121.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rlschool-1.0.3-1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 686.8 kB
Release files / rlschool-1.0.3-1.tar.gz
| Download URL | rlschool-1.0.3-1.tar.gz |
|---|---|
| Size | 121.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.7
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Release files / rlschool-1.0.3-1-py2.py3-none-any.whl
| Download URL | rlschool-1.0.3-1-py2.py3-none-any.whl |
|---|---|
| Size | 565.6 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.7
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