MuJoCo hopper experiment validates latent predictive representations decode pose and velocity linearly
hisspikeness · x · 2026-10-08
Part 5 presents validation on a MuJoCo hopper with non-deterministic dynamics and nuisance (random colors, lighting, camera, noisy backgrounds): the latent predictive model's representation allows linearly decoding the hopper's pose and velocity.
More from Research
- Talk: how to RL-train an agent running inside a harness you didn't write — SergioPaniego · 2026-10-08
- AI labs accused of press-release deception: none of 520 claimed proofs Lean-formalized — gerardsans · 2026-10-08
- Commercial detector re-runs NeurIPS AI-text check: 7.3% of 2025 papers flagged vs Pangram's 1% — AltruisticCouple3491 · 2026-10-08
- Burned 300B Tokens with Nothing; Internal Model Broke Through in 3 Hours — burny_tech · 2026-10-08
- NVIDIA's UNREAL paper lets one LLM both retrieve and answer, lifting recall from 49% to 73% — mark_k · 2026-10-08
- NAMVIS: next-scale autoregression beats diffusion for multi-view synthesis, 3x faster — Ramil Khafizov · 2026-10-08