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51 changes: 44 additions & 7 deletions README.md
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Expand Up @@ -37,14 +37,15 @@ Leveraging a multi-role distributed architecture with Ray for flexible resource

| 📣 Updates |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **[08/11/2025]** 🎉 Our Paper released, see [Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning](https://arxiv.org/abs/2508.08221). |
| **[08/13/2025]** 🎉 ROLL supports AMD GPUs with out-of-box image docker and Dockerfile and specific yamls under `examples/` directory. Please refer to [Installation](https://alibaba.github.io/ROLL/docs/English/QuickStart/installation). |
| **[08/11/2025]** 🎉 Our Paper released, see [Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning](https://arxiv.org/abs/2508.08221). |
| **[08/10/2025]** 🎉 Agentic RL supports [stepwise learning](examples/qwen2.5-0.5B-agentic/agent_val_frozen_lake_gigpo.yaml), like [GiGPO](https://arxiv.org/abs/2505.10978); Distill supports [VLM](examples/qwen2.5-vl-7B-distill/distill_vl_megatron.yaml). Explore the new capabilities! |
| **[07/31/2025]** 🎉 Refactor agentic rl design. Support agentic rl [async training](examples/qwen2.5-0.5B-agentic/agent_val_frozen_lake_async.yaml). Explore the new capabilities! |
| **[07/31/2025]** 🎉 Support [DistillPipeline](examples/qwen2.5-7B-distill_megatron/run_distill_pipeline.sh)/[DpoPipeline](examples/qwen2.5-3B-dpo_megatron/run_dpo_pipeline.sh). Support [lora](examples/qwen2.5-7B-rlvr_megatron/rlvr_lora_zero3.yaml). Support [GSPO](https://arxiv.org/abs/2507.18071) |
| **[06/25/2025]** 🎉 Support thread env for env scaling and support qwen2.5 VL agentic pipeline. |
| **[06/13/2025]** 🎉 Support Qwen2.5 VL rlvr pipeline and upgrade mcore to 0.12 version. |
| **[06/09/2025]** 🎉 ROLL tech report is now available! Access the report [here](https://arxiv.org/abs/2506.06122). |
| **[06/08/2025]** 🎉Supports Qwen3(8B/14B/32B), Qwen3-MoE(30A3/235A22), Qwen2.5(7B/14B/32B/72B) LLM models. |
| **[05/30/2025]** 🎉 Training RLVR and Agentic RL with ROLL is now available! Explore the new capabilities. |
---

Expand All @@ -54,14 +55,50 @@ Leveraging a multi-role distributed architecture with Ray for flexible resource
[Documents](https://alibaba.github.io/ROLL/)

### Quick Start

[Quick Start based on alicloud](https://alibaba.github.io/ROLL/docs/English/StepByStep/alicloud_pipeline_quick_start_en)
[Installation](https://alibaba.github.io/ROLL/docs/English/QuickStart/installation)
[Config guide](https://alibaba.github.io/ROLL/docs/English/QuickStart/config_guide)
[Config System Explanation](https://alibaba.github.io/ROLL/docs/English/QuickStart/config_system)
[Debugging Guide](https://alibaba.github.io/ROLL/docs/English/QuickStart/debugging_guide_en)
[Trackers and Metrics](https://alibaba.github.io/ROLL/docs/English/UserGuide/trackers_and_metrics)
[Checkpoint Saving and Resuming Guide](https://alibaba.github.io/ROLL/docs/English/UserGuide/checkpoint_and_resume)
[Converting MCoreAdapter Models to Hugging Face Format](https://alibaba.github.io/ROLL/docs/English/UserGuide/megatron_convert_2_hf)
[Quick Start: Single-Node Deployment Guide](https://alibaba.github.io/ROLL/docs/English/QuickStart/single_node_quick_start)
[Quick Start: Multi-Node Deployment Guide](https://alibaba.github.io/ROLL/docs/English/QuickStart/multi_node_quick_start)
[Frequently Asked Questions](https://alibaba.github.io/ROLL/docs/English/QuickStart/qa_issues)

### UserGuide

#### Pipeline Step by Step
[RLVR Pipeline](https://alibaba.github.io/ROLL/docs/English/UserGuide/pipeline/rlvr_pipeline_start)
[Agentic Pipeline](https://alibaba.github.io/ROLL/docs/English/UserGuide/pipeline/agentic_pipeline_start)
[Agentic Comprehensive Guide](https://alibaba.github.io/ROLL/docs/English/UserGuide/pipeline/agent_pipeline_start)
[Distill Pipeline](https://alibaba.github.io/ROLL/docs/English/UserGuide/pipeline/distill_pipeline_start)

#### Algorithms
[Reinforce++](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/Reinforce_Plus_Plus)
[TOPR](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/TOPR)
[GiGPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/agentic_GiGPO)
[PPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/PPO)
[Lite PPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/LitePPO)
[GRPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/GRPO)
[GSPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/GSPO)
[RAFT++](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/RAFT_Plus_Plus)
[StarPO](https://alibaba.github.io/ROLL/docs/English/UserGuide/algorithms/agentic_StarPO)

#### Beckend
[DeepSeed](https://alibaba.github.io/ROLL/docs/English/UserGuide/backend/deepspeed)
[Megatron](https://alibaba.github.io/ROLL/docs/English/UserGuide/backend/megatron)
[LoRA](https://alibaba.github.io/ROLL/docs/English/UserGuide/backend/lora)
[vLLM](https://alibaba.github.io/ROLL/docs/English/UserGuide/backend/vllm)
[SGLang](https://alibaba.github.io/ROLL/docs/English/UserGuide/backend/sglang)

#### Advanced Features
[Agentic Asynchronous Parallel Rollout](https://alibaba.github.io/ROLL/docs/English/UserGuide/agentic_async_parallel_rollout)
[Agentic Asynchronous Training Feature](https://alibaba.github.io/ROLL/docs/English/UserGuide/async_training_agentic)

#### Performance Optimization & Resource Management
[Resource Config](https://alibaba.github.io/ROLL/docs/English/UserGuide/device_mapping)
[GPU Time-Division Multiplexing Control](https://alibaba.github.io/ROLL/docs/English/UserGuide/offload_reload_control)

### Step By Step
[RLVR Pipeline](https://alibaba.github.io/ROLL/docs/English/StepByStep/rlvr_pipeline_start)
[Agentic RL Pipeline](https://alibaba.github.io/ROLL/docs/English/StepByStep/agent_pipeline_start)

---

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