RLCurriculumOrchestrator connects the RL domains that were split across the<\/p>\n\n\n\n
project and the expanded RL domain catalog: Knowledge RL, Gaming RL, game and<\/p>\n\n\n\n
physics simulation, robot\/Gazebo simulation, cybersecurity, Windows operations,<\/p>\n\n\n\n
software build\/test, research, healthcare, tutoring, parenting, finance, stocks,<\/p>\n\n\n\n
commerce, operations, infrastructure, legal, policy, manufacturing, creative<\/p>\n\n\n\n
workflows, productivity, IoT, fleet maintenance, call-center support, ROS\/robot<\/p>\n\n\n\n
hooks, and real-world deployment gates.<\/p>\n\n\n\n
RL hub (start here):<\/strong> ReinforcementLearning.md (ReinforcementLearning.md)<\/p>\n\n\n\n Related subsystem docs:<\/p>\n\n\n\n The simulator smoke tests are non-actuating. They train tiny tabular policies<\/p>\n\n\n\n against safe synthetic RLEnv environments so the RL loop can be checked before<\/p>\n\n\n\n anything touches Minecraft, Windows automation, ROS, or hardware.<\/p>\n\n\n\n Neural (MathNN) training is separate: use rl net \u2026, rl cartpole, domain<\/p>\n\n\n\n net on flags, or nn math train \u2026 after smoke passes.<\/p>\n\n\n\n [text] Run rl curriculum domains to print the live catalog. Run<\/p>\n\n\n\n rl curriculum domain <id> to print actions, safety model, deployment stage,<\/p>\n\n\n\n and a ready-to-run smoke command for a single domain.<\/p>\n\n\n\n Run rl curriculum smoke mathematics or nn math smoke mathematics to smoke all<\/p>\n\n\n\n six mathematics domains. Use nn math train <domain_id> for MathNN DQN training.<\/p>\n\n\n\n The generic smoke domains use a synthetic eight-value observation:<\/p>\n\n\n\n progress, quality, risk, uncertainty, budget, compliance, load, time. Their<\/p>\n\n\n\n actions are catalog-specific labels, but the smoke environment maps them into<\/p>\n\n\n\n safe policy families: observe, optimize, explore, escalate, recover\/fallback,<\/p>\n\n\n\n and audit\/deploy. These smoke tests do not touch external services.<\/p>\n\n\n\n Minecraft: dry-run \u2192 minecraft dqn net on \u2192 short train; optional<\/p>\n\n\n\n minecraft dqn plan on for Executive setup steps.<\/p>\n\n\n\n cybersecurity, infrastructure, and robotics, keep training synthetic or<\/p>\n\n\n\n logged-data only until evaluation is strong and the safety model is reviewed.<\/p>\n\n\n\n rl real stage … and the existing RLDeployment gates.<\/p>\n\n\n\n [lua] RLCurriculumOrchestrator connects the RL domains that were split across the project and the expanded RL domain catalog: Knowledge RL, Gaming RL, game and physics simulation, robot\/Gazebo simulation, cybersecurity, Windows operations, software build\/test, research, healthcare, tutoring, parenting, finance, stocks, commerce, operations, infrastructure, legal, policy, manufacturing, creative workflows, productivity, IoT, fleet maintenance, call-center support, ROS\/robot hooks, and […]<\/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-2063","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2063","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=2063"}],"version-history":[{"count":1,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2063\/revisions"}],"predecessor-version":[{"id":2064,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/2063\/revisions\/2064"}],"wp:attachment":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/media?parent=2063"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/categories?post=2063"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/tags?post=2063"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Commands<\/h2>\n\n\n\n
<\/em>rl status
rl curriculum status
rl curriculum plan
rl curriculum next
rl curriculum domains [category]
rl curriculum domain <id>
rl curriculum envs
rl curriculum smoke all [episodes] [max_steps]
rl curriculum smoke knowledge [episodes] [max_steps]
rl curriculum smoke game [episodes] [max_steps]
rl curriculum smoke physics [episodes] [max_steps]
rl curriculum smoke robot [episodes] [max_steps]
rl curriculum smoke cybersecurity [episodes] [max_steps]
rl curriculum smoke healthcare [episodes] [max_steps]
rl curriculum smoke mathematics [episodes] [max_steps]
rl curriculum export [path]
rl domains [category]
rl domain <id>
rl sim game smoke [episodes] [max_steps]
rl sim physics smoke [episodes] [max_steps]
rl sim robot smoke [episodes] [max_steps]
rl sim energy smoke [episodes] [max_steps]
rl sim windows smoke [episodes] [max_steps]
rl net status
rl net modes
rl net enable <agent>
rl net mode <agent> <dqn|dueling-dqn|actor-critic|bandit|hierarchical|multihead-dueling|worldmodel|reward-model>
rl net save|load <agent> <path>
rl net reward <agent> good|bad
rl net wm|rm <agent> on|off
rl cartpole [episodes] [dueling|a2c|hierarchical|multihead] [shield] [tripwire] [curiosity]
rl life status|smoke|suggest # alias of life rl \u2026
rl real envs
rl real stage <agent> <sim|offline|shadow|gatedlive|live><\/p>\n\n\n\nDomains<\/h2>\n\n\n\n
Domain<\/strong><\/td> Category<\/strong><\/td> Smoke<\/strong><\/td> Purpose<\/strong><\/td><\/tr> knowledge_rl<\/td> knowledge<\/td> yes<\/td> Synthetic claim triage, critique, and memory-consolidation policy checks.<\/td><\/tr> gaming_rl<\/td> gaming<\/td> yes<\/td> Game\/FPS navigation, stuck recovery, resource timing, and reward shaping.<\/td><\/tr> game_simulator<\/td> gaming<\/td> yes<\/td> Deterministic grid navigation and obstacle handling.<\/td><\/tr> physics_simulator<\/td> simulation<\/td> yes<\/td> Force and trajectory control using local physics dynamics.<\/td><\/tr> robot_simulator<\/td> robotics<\/td> yes<\/td> Differential-drive navigation with collision and boundary penalties.<\/td><\/tr> robotics_gazebo<\/td> robotics<\/td> yes<\/td> ROS\/Gazebo navigation, manipulation, recovery, and sensor-fusion staging.<\/td><\/tr> ros_robot<\/td> robotics<\/td> no<\/td> Real ROS\/hardware bridge placeholder, registered at Sim by default.<\/td><\/tr> cybersecurity_soc<\/td> security<\/td> yes<\/td> Alert triage, evidence collection, incident ranking, and escalation policy.<\/td><\/tr> windows_ops<\/td> operations<\/td> yes<\/td> Ticket triage, patch scheduling, diagnostics, rollback planning, and audits.<\/td><\/tr> software_build<\/td> software<\/td> yes<\/td> Build, test, lint, bisect, retry, rollback, and documentation choices.<\/td><\/tr> research_science<\/td> research<\/td> yes<\/td> Literature review, hypothesis selection, experiment planning, and replication.<\/td><\/tr> healthcare_triage<\/td> healthcare<\/td> yes<\/td> Intake questions, guideline lookup, risk flags, and human escalation.<\/td><\/tr> education_tutoring<\/td> education<\/td> yes<\/td> Hinting, examples, retrieval practice, review, and assessment timing.<\/td><\/tr> child_parenting<\/td> parenting<\/td> yes<\/td> Supportive routines, de-escalation, boundaries, choices, and safety escalation.<\/td><\/tr> finance_portfolio<\/td> finance<\/td> yes<\/td> Allocation, risk balancing, rebalance timing, and drawdown-aware simulation.<\/td><\/tr> stock_research<\/td> finance<\/td> yes<\/td> RSS reading, sentiment checks, fundamentals review, and watchlist updates.<\/td><\/tr> product_recommendation<\/td> commerce<\/td> yes<\/td> Relevance, diversity, safety filtering, preference questions, and audits.<\/td><\/tr> sales_pricing<\/td> commerce<\/td> yes<\/td> Offer timing, guarded discounting, follow-up cadence, and churn handling.<\/td><\/tr> supply_chain<\/td> operations<\/td> yes<\/td> Reorder, supplier, routing, buffer stock, and disruption-response policies.<\/td><\/tr> energy_grid<\/td> infrastructure<\/td> yes<\/td> Load forecasting, storage dispatch, outage response, and demand shifting.<\/td><\/tr> legal_research<\/td> legal<\/td> yes<\/td> Statute\/case lookup, issue spotting, citation checks, and attorney escalation.<\/td><\/tr> civic_policy<\/td> government<\/td> yes<\/td> Stakeholder tradeoffs, sequencing, equity checks, review, and policy audits.<\/td><\/tr> manufacturing_quality<\/td> manufacturing<\/td> yes<\/td> Inspection, calibration, sampling, rework, and line-stop recommendations.<\/td><\/tr> media_workflow<\/td> creative<\/td> yes<\/td> Ingest, tagging, edit queues, rendering, captioning, and publishing review.<\/td><\/tr> personal_productivity<\/td> personal<\/td> yes<\/td> Prioritization, scheduling, focus blocks, breaks, reminders, and review.<\/td><\/tr> smart_home<\/td> iot<\/td> yes<\/td> Comfort, energy, notifications, fallback-safe automation, and audit policy.<\/td><\/tr> fleet_maintenance<\/td> operations<\/td> yes<\/td> Inspection, preventive service, parts staging, rerouting, and downtime reduction.<\/td><\/tr> call_center<\/td> customer_ops<\/td> yes<\/td> Routing, response suggestions, clarifying questions, escalation, and QA.<\/td><\/tr> llm_routing<\/td> llm<\/td> no<\/td> Backend selection by latency, quality, cost, and task fit.<\/td><\/tr> math_algebra<\/td> mathematics<\/td> yes<\/td> Parsing, simplification, factoring, and equation-solving tutoring steps.<\/td><\/tr> math_geometry<\/td> mathematics<\/td> yes<\/td> Theorem application, measurement, and proof-construction tutoring.<\/td><\/tr> math_trigonometry<\/td> mathematics<\/td> yes<\/td> Unit-circle, ratio, identity, and law-of-sines\/cosines tutoring.<\/td><\/tr> math_probability_statistics<\/td> mathematics<\/td> yes<\/td> Events, Bayes updates, descriptive stats, and hypothesis-test workflows.<\/td><\/tr> math_linear_algebra<\/td> mathematics<\/td> yes<\/td> Matrix ops, systems, rank\/eigen analysis, and transformations.<\/td><\/tr> math_finite_math<\/td> mathematics<\/td> yes<\/td> Sets\/logic, combinatorics, Markov chains, LP, and graph reasoning.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Training Flow<\/h2>\n\n\n\n
\n
\n
\n
\n
Lua Helpers<\/h2>\n\n\n\n
<\/em>ai_rl_status()
ai_rl_seed(n)
ai_rl_curriculum_status()
ai_rl_curriculum_plan()
ai_rl_domains()
ai_rl_domains(“finance”)
ai_rl_domain(“healthcare”)
ai_rl_curriculum_domains()
ai_rl_curriculum_domain(“cybersecurity_soc”)
ai_nn_modes()
ai_nn_policy_enable(“life”, “dueling-dqn”, 16, 8)<\/p>\n","protected":false},"excerpt":{"rendered":"