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Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
SumanthRH
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Jun 25, 2025
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Will keep only formatting related rules at top-level
caoshiyi
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Jun 25, 2025
README.md
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| SkyRL provides the following components: | ||
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| For reproducing our results for SkyRL-Agent-14B-v0, SkyRL-Agent-8B-v0, and SkyRL-Agent-7B-v0 you can refer to [examples/sky/swebench](./examples/sky/swebench/README.md). | ||
| - [`skyrl-agent`](./skyrl-agent): Our agent layer for training long-horizon, real-world agents. |
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use this name maybe: SkyAgent
Also add a link to the corresponding blogpost? The code for SkyRL-v0: Train Real-World Long-Horizon Agents via Reinforcement Learning.
caoshiyi
reviewed
Jun 25, 2025
README.md
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| For reproducing our results for SkyRL-Agent-14B-v0, SkyRL-Agent-8B-v0, and SkyRL-Agent-7B-v0 you can refer to [examples/sky/swebench](./examples/sky/swebench/README.md). | ||
| - [`skyrl-agent`](./skyrl-agent): Our agent layer for training long-horizon, real-world agents. | ||
| - (NEW!) [`skyrl-train`](./skyrl-train): Our flexible training framework for RL. | ||
| - (NEW!) [`skygym`](./skygym): Our library of agentic, tool-use environments. |
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no agentic? just mention what environments are supported.
caoshiyi
reviewed
Jun 25, 2025
caoshiyi
reviewed
Jun 25, 2025
Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
Signed-off-by: SumanthRH <sumanthrh99@gmail.com>
fannie1208
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Aug 19, 2025
Co-authored-by: Tyler Griggs <tgriggs@berkeley.edu> Co-authored-by: Eric Tang <etang@anyscale.com> Co-authored-by: Sumanth Hegde <sumanthrh@anyscale.com> Co-authored-by: Shu Liu <lshu@berkeley.edu> Co-authored-by: Shiyi Cao <shicao@berkeley.edu> Co-authored-by: Dacheng Li <dacheng177@berkeley.edu> Co-authored-by: Charlie Ruan <charlieruan@berkeley.edu>
pcmoritz
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Oct 4, 2025
This is a very first cut of the API, it is likely that there are mistakes and thing will change. For example currently I'm just setting the future_id to be the same as the request_id, we will see if that holds up.
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What does this PR do?
Adds our SkyRL-Train + SkyGym code