entropy-sim2real
Entropy-driven sim2real transfer. Uses maximum entropy RL, domain randomization, and information-theoretic bridging to close the reality gap.
npx skills add majiayu000/claude-skill-registry --skill entropy-sim2real --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Entropy-Driven Sim2Real Transfer **Trit**: -1 (MINUS - analysis/verification) **Color**: #E85B8E (Rose Pink) **URI**: skill://entropy-sim2real#E85B8E ## Core Insight **Entropy bridges the sim-real gap by:** 1. **Maximizing entropy in simulation** → Policy sees diverse conditions 2. **Minimizing entropy at deployment** → Uncertainty collapses to reality 3. **Information-theoretic alignment** → Match distributions, not parameters ``` SIMULATION REALITY High Entropy ─────────────────────────────▶ Low Entropy H(params) = max ══════════▶ H(params) ≈ 0 H(π|s) = high ══════════▶ H(π|s) = focused p(sim) = broad ══════════▶ p(real) = delta ┌─────────────────┐ ┌─────────────────┐ │ MANY POSSIBLE │ BRIDGE │ ONE ACTUAL │ │ WORLDS │───────────────│ WORLD │ │ (superpos.) │ │ (collapsed) │ └─────────────────┘ └─────────────────┘ ``` ## Three Entropy Mechanisms ### 1. Domain Randomization Entropy Maximize entropy over simulation parameters: ```python import jax import jax.numpy as jnp from typing import Dict class EntropyMaximizingRandomizer: """Domain randomization that maximizes parameter entropy.""" def __init__(self, param_ranges: Dict[str, tuple]): self.param_ranges = param_ranges def entro
- Core Insight
- Three Entropy Mechanisms
- 1. Domain Randomization Entropy
- 2. Maximum Entropy RL
- 3. Information-Theoretic Bridging
- The Entropy Bridge Pipeline
- Integration with K-Scale Stack
- Why Entropy Works for Sim2Real
- 1. Coverage Guarantee
- 2. Robustness via Exploration
- 3. Information Bottleneck
- GF(3) Triads
- Related Skills
- References
What does the entropy-sim2real skill do?
Entropy-driven sim2real transfer. Uses maximum entropy RL, domain randomization, and information-theoretic bridging to close the reality gap.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill entropy-sim2real --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.