All Environments
navigation medium

dynamic-goal-navigation-v0

A 2D point-mass navigation task where the target goal location evolves continuously to test adaptation to changing reward structures while maintaining fixed transition dynamics. The agent controls a point mass with double-integrator dynamics (mass=1.0, friction=0.1) in a 10x10 bounded arena. The goal follows configurable dynamics: static, linear drift with reflection, Brownian random walk, or periodic teleportation.

Observation Space

Box(shape=[6])

Action Space

Box(shape=[2])

Reward

dense

dynamic-goal-navigation-v0 | kualia.ai