areal
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
Master staleness management in asynchronous training with AReaL. Control model lag and prevent off-policy data from degrading performance for better learning.
How to Set Up SkyPilot Deployment for Cloud-Based Training with AReaLLearn how to set up SkyPilot deployment for cloud training with AReaL. Effortlessly launch jobs on GCP, AWS, or Kubernetes using YAML templates and sky launch.
How to Configure Sequence Packing for Efficient GPU Utilization in AReaLLearn to configure sequence packing in AReaL and boost GPU utilization. Discover how this feature groups short sequences into dense micro-batches for maximum efficiency.
Implementing M2PO (Mixture of Memory Policy Optimization) in AReaLImplement M2PO (Mixture of Memory Policy Optimization) in AReaL. Stabilize policy updates by masking high-variance tokens using second-momentum statistics. Learn how M2PO integrates with PPO trainer.
Debugging Reward Convergence Issues in GRPO Training: A Complete Guide to AReaL ConfigurationSolve reward convergence problems in GRPO training. Learn to configure PPOActor normalization, KL control weights, and importance sampling for stable, optimal results. Expert guide.
Setting up metrics tracking with StatsLogger for W&B or SwanLab integration: The AReaL GuideEasily track metrics with StatsLogger for W&B or SwanLab integration in AReaL. Instantiate StatsLogger, record metrics via StatsTracker API, and export results.
Megatron vs FSDP vs Archon Backend Trade-offs in AReaL: A Complete Technical GuideExplore Megatron vs FSDP vs Archon backend trade-offs in AReaL. Discover the best options for your large scale mid scale or experimental AI training needs. Optimize your workflow today.
Implementing Checkpointing and Recovery for Long-Running Training Jobs in AReaLLearn how AReaL implements checkpointing and recovery for long-running training jobs with a dual-path architecture. Prevent I/O blocking and ensure fault tolerance.
Configuring SGLang vs vLLM Inference Backends for Production Workloads in AReaLCompare SGLang and vLLM inference backends for AReaL production workloads. Learn which high-throughput option suits your needs best for efficient AI deployment.
Implementing DAPO (Direct Advantage Policy Optimization) Filtering Strategies in AReaLImplement DAPO filtering strategies in AReaL using configurable over-long sequence penalties. Inject negative reward shaping into PPO loss for optimized policy performance.
Understanding PPO Clipped Objective and Advantage Normalization in AReaLExplore PPO clipped objective and advantage normalization in AReaL. Stabilize large-scale reinforcement learning training with this configurable PPO implementation for better performance.
Setting Up Huawei Ascend NPU Training Infrastructure for AReaL: A Complete GuideSet up Huawei Ascend NPU training infrastructure for AReaL easily. Learn how to leverage Docker, CANN, vLLM-Ascend, and SLURM for GPU-like deep learning workflows.
Have a question about this repo?
These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:
curl -s "https://instagit.com/install.md" 
Maintain an open-source project? Get it listed too →