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12 changes: 3 additions & 9 deletions docs/agentic_rl.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,7 @@

## Architecture

<p align="center">
<img src="images/agentic_rollout_pipeline.png" alt="Trajectory Collect Engine Overview" width="100%">
</p>
![Trajectory Collect Engine Overview](images/agentic_rollout_pipeline.png)

## Core Components

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### Agent/Environment interaction

<p align="center">
<img src="images/agentic_agent:env.png" alt="Batch vs Async Rollout" width="80%">
</p>
![Batch vs Async Rollout](images/agentic_agent:env.png)

--------------------------------------------------------------------------------

Expand Down Expand Up @@ -116,9 +112,7 @@ lock ensures that rollouts (`acquire_rollout`) are temporarily paused when a
weight sync (`acquire_weight_sync`) is requested, preventing agents from
generating trajectories with stale parameters.

<p align="center">
<img src="images/batch_vs_async_rollout.png" alt="Batch vs Async Rollout" width="50%">
</p>
![Batch vs Async Rollout](images/batch_vs_async_rollout.png)

### Trajectory Batching and Grouping

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4 changes: 1 addition & 3 deletions docs/design.md
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Expand Up @@ -123,9 +123,7 @@ training agents that can perform multi-turn reasoning and interact with external
tools. The design follows a standard RL paradigm where an **Agent** interacts
with an **Environment** over multiple steps to complete a task.

<p align="center">
<img src="images/agentic_rollout_pipeline.png" alt="Agentic RL Flow" width="80%">
</p>
![Agentic RL Flow](images/agentic_rollout_pipeline.png)

The core design supports agents that engage in **multi-turn conversations**,
breaking down complex problems into sequential steps of reasoning, tool
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