{"id":2004,"date":"2026-07-18T06:39:47","date_gmt":"2026-07-18T13:39:47","guid":{"rendered":"http:\/\/macdaddy4sure.ai\/?p=2004"},"modified":"2026-07-18T06:39:47","modified_gmt":"2026-07-18T13:39:47","slug":"life-rl","status":"publish","type":"post","link":"http:\/\/macdaddy4sure.ai\/index.php\/2026\/07\/18\/life-rl\/","title":{"rendered":"Life RL"},"content":{"rendered":"\n

Life RL is an advisory<\/strong> multi-domain reinforcement-learning surface built on<\/p>\n\n\n\n

MathNN and RLAgentNet. It suggests micro-actions for everyday living domains<\/p>\n\n\n\n

(sleep, focus, chores, meals, movement, light budget reflection, inbox triage,<\/p>\n\n\n\n

social energy, learning streaks, digital hygiene, mood check-ins, errands).<\/p>\n\n\n\n

It does not<\/strong> auto-send messages, spend money, prescribe treatment, or control<\/p>\n\n\n\n

devices. Sensitive domains emit explicit disclaimers.<\/p>\n\n\n\n

See also:<\/strong> ReinforcementLearning.md (ReinforcementLearning.md) \u00b7<\/p>\n\n\n\n

MathNN.md (MathNN.md) \u00b7 AugmentedIntelligenceSystems.md (AugmentedIntelligenceSystems.md)<\/p>\n\n\n\n

Code: LifeRL.hpp \/ LifeRL.cpp. Agent ids: life, life_<domain>.<\/p>\n\n\n\n

Safety<\/h2>\n\n\n\n

[text]
<\/em>life rl safety<\/p>\n\n\n\n

Hard rules:<\/p>\n\n\n\n

    \n
  1. Suggestions only \u2014 no external side effects from the policy.<\/li>\n\n\n\n
  2. Health \/ finance \/ mood \/ relationships are decision-support, not authority.<\/li>\n\n\n\n
  3. Human good \/ bad feedback trains a preference model; it does not grant autonomy.<\/li>\n\n\n\n
  4. Synthetic smoke envs are the default training path.<\/li>\n\n\n\n
  5. Crisis content should be redirected to professionals; do not \u201coptimize\u201d crisis.<\/li>\n<\/ol>\n\n\n\n

    Commands<\/h2>\n\n\n\n

    [text]
    <\/em>life rl status
    life rl domains
    life rl domain focus_blocks
    life rl safety
    life rl ideas

    life rl smoke all 12
    life rl smoke sleep_routine 20
    life rl train focus_blocks 50
    life rl suggest meal_rhythm low energy after lunch
    life rl observe chore_load kitchen is a mess
    life rl reward good
    life rl reward bad

    life rl net on
    life rl net status
    life rl net save checkpoints\/life_mathnn.txt
    life rl net load checkpoints\/life_mathnn.txt<\/p>\n\n\n\n

    Aliases: rl life \u2026 routes to the same handler.<\/p>\n\n\n\n

    Domains (initial set)<\/h2>\n\n\n\n
    ID<\/strong><\/td>Category<\/strong><\/td>Sensitive<\/strong><\/td><\/tr>
    sleep_routine<\/td>health_wellness<\/td>no<\/td><\/tr>
    focus_blocks<\/td>work<\/td>no<\/td><\/tr>
    chore_load<\/td>home<\/td>no<\/td><\/tr>
    meal_rhythm<\/td>food<\/td>no<\/td><\/tr>
    movement_nudge<\/td>fitness<\/td>no<\/td><\/tr>
    budget_check<\/td>finance<\/td>yes<\/strong><\/td><\/tr>
    inbox_triage<\/td>work<\/td>no<\/td><\/tr>
    social_energy<\/td>relationships<\/td>yes<\/strong><\/td><\/tr>
    learning_streak<\/td>education<\/td>no<\/td><\/tr>
    digital_hygiene<\/td>security<\/td>no<\/td><\/tr>
    mood_checkin<\/td>health_wellness<\/td>yes<\/strong><\/td><\/tr>
    errand_routing<\/td>home<\/td>no<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Each domain uses a 16-D synthetic state<\/strong> and 8 discrete actions<\/strong> (named<\/p>\n\n\n\n

    micro-nudges). MathNN agent ids are life and life_<domain>.<\/p>\n\n\n\n

    MathNN wiring<\/h2>\n\n\n\n
    Concern<\/strong><\/td>Implementation<\/strong><\/td> <\/td><\/tr>
    Policy<\/td>RLAgentNet mode dueling-dqn (default) or bandit on sensitive domains<\/td> <\/td><\/tr>
    Train<\/td>life rl train enables world-model curiosity + reward-model blend<\/td> <\/td><\/tr>
    Feedback<\/td>`life rl reward good\\<\/td>bad \u2192 _RLAgentNet::Feedback`<\/td><\/tr>
    Checkpoints<\/td>`life rl net save\\<\/td>load + .meta \/ .rm \/ .wm` sidecars<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Related:<\/p>\n\n\n\n

    [text]
    <\/em>rl net mode life_focus_blocks hierarchical
    rl net q life_sleep_routine
    nn agent list
    nn modes<\/p>\n\n\n\n

    Product brainstorm (ideas)<\/h2>\n\n\n\n

    See also life rl ideas in-app. Highlights:<\/p>\n\n\n\n

      \n
    • Morning brief<\/strong> \u2014 fuse sleep + focus + meal into one card of three nudges.<\/li>\n\n\n\n
    • Energy-aware chores<\/strong> \u2014 condition chore policy on stress\/energy features.<\/li>\n\n\n\n
    • Preference co-pilot<\/strong> \u2014 weeks of good\/bad labels \u2192 personal reward model.<\/li>\n\n\n\n
    • Hierarchical day planner<\/strong> \u2014 manager picks domain, worker picks micro-action.<\/li>\n\n\n\n
    • World-model \u201cwhat if\u201d<\/strong> \u2014 predict stress\/focus deltas if sleep is skipped.<\/li>\n\n\n\n
    • MLApp bridge<\/strong> \u2014 life-domain templates as encoders into the 16-D state.<\/li>\n\n\n\n
    • Calendar masks<\/strong> \u2014 meetings as illegal actions for focus\/errand policies.<\/li>\n\n\n\n
    • Household multi-agent<\/strong> \u2014 shared chore bandit with fairness regularizer.<\/li>\n\n\n\n
    • Seasonal curriculum<\/strong> \u2014 winter movement harder; tax season budget_check.<\/li>\n\n\n\n
    • Privacy mode<\/strong> \u2014 on-device MathNN only; opt-in metrics export.<\/li>\n\n\n\n
    • Coaching chat<\/strong> \u2014 LLM explains a suggestion without forcing it.<\/li>\n\n\n\n
    • Eval gates<\/strong> \u2014 promote checkpoints only if self-report proxies improve.<\/li>\n<\/ul>\n\n\n\n

      Relationship to other systems<\/h2>\n\n\n\n
      System<\/strong><\/td>Relationship<\/strong><\/td><\/tr>
      MLAppFeatures<\/td>37 life templates<\/strong> (classifiers\/regressors); LifeRL is sequential<\/strong> policy<\/td><\/tr>
      ChildPsychologyParentingRL<\/td>Separate, heavily constrained parenting coaching \u2014 not merged<\/td><\/tr>
      Gaming \/ Minecraft RL<\/td>Same MathNN\/RLAgentNet substrate; different actuation + safety<\/td><\/tr>
      Human \/ RSI agents<\/td>Can call ai_nn_policy_* Lua or life rl commands<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

      Quick start<\/h2>\n\n\n\n

      [text]
      <\/em>life rl domains
      life rl smoke all 8
      life rl net on
      life rl suggest focus_blocks
      life rl reward good
      life rl train sleep_routine 30
      life rl net save checkpoints\/life_sleep.txt<\/p>\n","protected":false},"excerpt":{"rendered":"

      Life RL is an advisory multi-domain reinforcement-learning surface built on MathNN and RLAgentNet. It suggests micro-actions for everyday living domains (sleep, focus, chores, meals, movement, light budget reflection, inbox triage, social energy, learning streaks, digital hygiene, mood check-ins, errands). It does not auto-send messages, spend money, prescribe treatment, or control devices. Sensitive domains emit explicit […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2004","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/comments?post=2004"}],"version-history":[{"count":1,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2004\/revisions"}],"predecessor-version":[{"id":2005,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2004\/revisions\/2005"}],"wp:attachment":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/media?parent=2004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/categories?post=2004"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/tags?post=2004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}