Antigravity Agent
1.3 KiB
1.3 KiB
id, title, category, status, canonical_id, duplicate_of, aliases, source_trust_level, confidence_score, verification_status, tags, last_reinforced, github_commit
| id | title | category | status | canonical_id | duplicate_of | aliases | source_trust_level | confidence_score | verification_status | tags | last_reinforced | github_commit | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-prioritized-experience-replay | Prioritized Experience Replay | 10_Wiki/Topics | duplicate | experience-replay | Experience-Replay |
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A | 0.9 | redirected |
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2026-05-10 | pending |
Prioritized Experience Replay
이 문서는 Experience-Replay 의 중복본입니다. Canonical 문서로 redirect.
핵심 요약 (specialization aspects)
- Schaul et al 2016 (ICLR): 매 sample transitions proportional to TD-error magnitude — high-error transitions trained more often.
- Sampling probability: P(i) ∝ |δ_i|^α (α=0.6 typical).
- Importance sampling weights: w_i = (N · P(i))^(-β) — corrects bias from non-uniform sampling; β annealed 0.4 → 1.0.
- SumTree data structure: O(log N) sample + update.
- 매 strict superset of uniform replay; default in Rainbow DQN.
🔗 Graph
- 부모: Experience-Replay (canonical)
- Adjacent: DQN · Rainbow-DQN · TD-Learning
🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 — canonical Experience-Replay 로 redirect, PER specialization aspects 보존 |