pith:FRJ5SPOM
Receding Horizon Multi-Agent Deceptive Path Planner
Receding-horizon optimization with Boltzmann policies generates tunable stochastic deceptive paths for single and multiple agents.
arxiv:2605.14085 v1 · 2026-05-13 · eess.SY · cs.SY
Record completeness
Claims
By iterating a user-defined cost that captures deception, resources, and smoothness, and optionally includes coupling terms between agents, the framework yields stochastic policies that balance the tradeoff between optimal paths and deceptive deviation.
That short-horizon optimizations within a receding loop can maintain effective deception without the global view of full-horizon methods, particularly when environmental changes occur.
A receding-horizon planner uses Boltzmann distributions over short trajectories to generate tunable deceptive paths for multiple agents.
References
Receipt and verification
| First computed | 2026-05-17T23:39:12.270649Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c53d93dccb9537b32b87b97b69121b30cbc298f4c813a431e040b3a0066662b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FRJ5SPOMXFJXWMVYPOL3NEJBWM \
| 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: 2c53d93dccb9537b32b87b97b69121b30cbc298f4c813a431e040b3a0066662b
Canonical record JSON
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