# apexrl/GCRL-Collection

<https://repo.masters-masters.com/en/repos/apexrl/GCRL-Collection>

[Home](https://repo.masters-masters.com/en) › [apexrl](https://repo.masters-masters.com/en/owners/apexrl) › [GCRL-Collection](https://repo.masters-masters.com/en/repos/apexrl/GCRL-Collection)

apexrl/GCRL-Collection has 144 stars on GitHub. Its RepoMasters card: Prototype tier. This repo relates to the survey paper \<Goal-Conditioned Reinforcement…

| Field | Value |
| --- | --- |
| Owner | [apexrl](https://repo.masters-masters.com/en/owners/apexrl) |
| Stars | 144 |
| Forks | 6 |
| Language | No language |
| License | None |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [apexrl/GCRL-Collection](https://github.com/apexrl/GCRL-Collection) |

## Repository

This repo relates to the survey paper \<Goal-Conditioned Reinforcement Learning: Problems and Solutions\>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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