reinforcement learning
for robotics hobbyists
Why this scored 3
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
low confidence · estimate, not a guarantee7-day
~3
range 0–15
14-day
~0
range 0–15
30-day
~0
range 0–19
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 146
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes
Improves decision processes · for ai decision makers
arxivSteadyai58d ago - 231
Searching for New Physics with Reinforcement Learning
Applies reinforcement learning to explore parameter spaces for potential new physics. · for research scientists, ml physicists
arxivSteady 2 · reinforcement learningscience1d ago - 319
Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning
Learning via stochastic dynamics · for ai researchers
arxivSteadyai35d ago - 417
Microduck-build-tutorial — A practical hardware and software setup for a compact RL-powered biped robot.
Tutorial details building a compact RL-powered biped robot with readily available components. · for robotics hobbyists
githubSteadyhardware−8 saturated2d ago - 59
Evaluating Fuzz Testing for Reinforcement Learning Agents
Fuzz testing for RL agents · for ai devs
arxivSteadyai45d ago - 67
When Model Merging Rivals Joint Multi-Task Reinforcement Learning: A Task-Vector Geometry Analysis
Improves joint task learning · for ai researchers
arxivSteadyai53d ago - 77
PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning
Improves reinforcement learning · for ai researchers
arxivSteadyai49d ago