D4RL
A collection of reference environments for offline reinforcement learning (by Farama-Foundation)
D4RL-Evaluations
By Farama-Foundation
D4RL | D4RL-Evaluations | |
---|---|---|
2 | 1 | |
1,203 | 182 | |
2.8% | 0.0% | |
0.0 | 0.0 | |
3 months ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
D4RL
Posts with mentions or reviews of D4RL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-20.
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[D] Adding a new RL environment to envpool
Envpool provides high parallelization of RL environments. Unfortunately, there are still many environments that are not supported by them. One of them is FrankaKitchen of D4RL, a library for offline RL.
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Goal-Conditionned policy on Ant Maze
Links:D4RL environments: https://github.com/rail-berkeley/d4rlD4RL DDPG implementation I'm talking about: https://github.com/rail-berkeley/d4rl_evaluations/tree/master/bcq/continuous_bcq
D4RL-Evaluations
Posts with mentions or reviews of D4RL-Evaluations.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-05.
-
Goal-Conditionned policy on Ant Maze
Links:D4RL environments: https://github.com/rail-berkeley/d4rlD4RL DDPG implementation I'm talking about: https://github.com/rail-berkeley/d4rl_evaluations/tree/master/bcq/continuous_bcq
What are some alternatives?
When comparing D4RL and D4RL-Evaluations you can also consider the following projects:
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.