Pith Number

pith:2YNZJQXK

pith:2026:2YNZJQXKERHE44UGTNN3W6KL3R

not attested not anchored not stored refs pending

Reward-Conditioned Reinforcement Learning

Marek Cygan, Michal Nauman, Pieter Abbeel

Conditioning RL agents on reward parameters during single-objective training enables zero-shot adaptation to new rewards via replay data alone.

arxiv:2603.05066 v3 · 2026-03-05 · cs.LG

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\usepackage{pith}
\pithnumber{2YNZJQXKERHE44UGTNN3W6KL3R}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

RCRL improves sample efficiency under the nominal reward parameterization, enables efficient adaptation to new parameterizations, and supports zero-shot behavioral adjustment at deployment.

C2weakest assumption

That recomputing counterfactual rewards from replay data collected under the nominal policy produces unbiased training signals for other reward parameterizations.

C3one line summary

RCRL conditions RL policies on reward parameters and uses shared replay data to train for multiple objectives under a single nominal reward, improving efficiency and adaptability.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T01:06:08.893422Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d61b94c2ea244e4e72869b5bbb794bdc6a3c7c3d2353b502e82050d6f4510a50

Aliases

arxiv: 2603.05066 · arxiv_version: 2603.05066v3 · doi: 10.48550/arxiv.2603.05066 · pith_short_12: 2YNZJQXKERHE · pith_short_16: 2YNZJQXKERHE44UG · pith_short_8: 2YNZJQXK

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YNZJQXKERHE44UGTNN3W6KL3R \
  | 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: d61b94c2ea244e4e72869b5bbb794bdc6a3c7c3d2353b502e82050d6f4510a50

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c5b4a4bb45cbd5cc2bcec4f144608d501ff9ef6fb5eb15de46ef0744c9be4430",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-03-05T11:29:17Z",
    "title_canon_sha256": "70cb4e591b6b3f80a2eb6f4194501f2e5ff9d1017e8ad8e834565b90df3e761d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.05066",
    "kind": "arxiv",
    "version": 3
  }
}