Dm_env Alternatives

Similar projects and alternatives to dm_env based on common topics and language

acme

11 3,370 5.8 Python dm_env VS acme

A library of reinforcement learning components and agents
panda-gym

3 446 5.3 Python dm_env VS panda-gym

Set of robotic environments based on PyBullet physics engine and gymnasium.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
cleanrl

41 4,459 6.3 Python dm_env VS cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
maze

4 257 0.0 Python dm_env VS maze

Maze Applied Reinforcement Learning Framework
machine_learning_examples

3 8,091 5.3 Python dm_env VS machine_learning_examples

A collection of machine learning examples and tutorials.
gradio

115 28,730 9.9 Python dm_env VS gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray

42 30,988 10.0 Python dm_env VS Ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dm_env alternative or higher similarity.

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dm_env reviews and mentions

Posts with mentions or reviews of dm_env. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-29.

Worthwhile to convert custom env to be dm_env compatible?
2 projects | /r/reinforcementlearning | 29 Mar 2022

Can anyone speak to their experience using acme (https://github.com/deepmind/acme) and by extension dm_env (https://github.com/deepmind/dm_env)? I'm wondering if it would be worthwhile for me to invest the time into converting my custom environment (which loosely follows the standard RL setup) over to this format.
[D] What would a "Production" RL stack look like in terms of tooling?
1 project | /r/MachineLearning | 29 Mar 2022

An interface based loosely on the standard RL setup. I'm thinking about adapting it to fit dm_env (https://github.com/deepmind/dm_env) to let it do more heavy lifting since I quite like Haiku, rlax and the rest of what they do.