Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-dimensional Control Tasks

ICMLOral2026

Authors
Stefan Huber, Hannes Unger, Georg Schäfer, Jakob Rehrl
Venue
ICML 2026
Track
Oral

TL;DR

No summary has been collected for this paper yet. Read the abstract at the authoritative source below.

Read the paper

Topics

reinforcement learning control

← All ICML 2026 Oral papers · Browse the whole archive