feat: add GiGPO anchor state computation to WAADesktopEnv#122
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Add compute_anchor_state() function that produces a state key for GiGPO cross-rollout grouping. Uses a11y tree SHA256 hash (primary) with screenshot MD5 fallback. The state_key is included in the info dict from both reset() and step() so VAGEN/verl can use it for O(1) anchor grouping instead of recomputing perceptual hashes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add dated addendum (2026-03-16) correcting the earlier conflation of VAGEN and verl-agent as a single project. Key findings: VAGEN-Lite dropped Bi-Level GAE (only vanilla GRPO/PPO), GiGPO lives exclusively in verl-agent which uses its own env_base.py interface (not GymImageEnv), and our train_verl_e2e.py targets the wrong entry point. Outlines a corrected two-phase path: standalone GRPO first, then direct verl-agent integration if per-step credit is needed. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers desktop RL landscape (30+ projects), per-step credit assignment alternatives (HCAPO recommended over GiGPO), scaling architectures (ComputerRL, DART-GUI), and synthetic environment feasibility (GUI-Genesis). Includes revised architecture recommendation: standalone GRPO + HCAPO first, then dense rewards + API-GUI hybrid, then async scaling. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ng math HCAPO and per-step credit are Phase 3 optimizations, not Phase 1. The bottleneck is rollout success rate (getting non-zero rewards), not loss computation. Dense partial-credit rewards and API-GUI hybrid actions directly increase gradient signal and should come first. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
compute_anchor_state()function using a11y tree SHA256 hash (primary) with screenshot MD5 fallbackstate_keyininfodict from bothreset()andstep()for efficient cross-rollout groupinghashlibContext
GiGPO groups identical intermediate states across rollouts to assign per-action advantages. The
state_keyenables O(1) grouping instead of VAGEN recomputing perceptual hashes across all rollout steps.Test plan
state_keyis present ininfofromreset()andstep()WAADesktopEnv🤖 Generated with Claude Code