pith:HABA3NJK
Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
Selective imitation learning lets agents stop acting when dynamics shift makes expert demonstrations unreliable, using a small set of validator policies.
arxiv:2605.09183 v2 · 2026-05-09 · cs.LG
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\pithnumber{HABA3NJKL4K4LGP7GBO3YLC26K}
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Claims
Our algorithm, SeqRejectron, constructs a stopping rule using a small set of validator policies whose size is independent of the horizon or policy class. For deterministic policies, this yields horizon-free Õ(log|Π|/ε²) sample complexity, assuming sparse costs.
The assumption that unlabeled state trajectories from the same expert are available in the test environment, together with the sparse-cost assumption needed for the deterministic horizon-free bound; if either fails the stated guarantees do not apply.
SeqRejectron builds a stopping rule from a small set of validator policies to achieve horizon-free sample-complexity guarantees for selective imitation learning under arbitrary train-test dynamics shifts.
Receipt and verification
| First computed | 2026-05-20T00:03:16.229703Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
38020db52a5f15c599ff305dbc2c5af29e35b64c64aeb9998f49f50cb6a32422
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HABA3NJKL4K4LGP7GBO3YLC26K \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 38020db52a5f15c599ff305dbc2c5af29e35b64c64aeb9998f49f50cb6a32422
Canonical record JSON
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