Publication date: 2020-10-28

MOUNTAIN CAR Free low-poly 3D model

free

License: Royalty Free No Ai

author:

karthikeyan1331

All content related to this 3D asset—including renders, descriptions, and metadata — is credited to its original author, «karthikeyan1331». CGhub does not claim copyright ownership over the content used.

Mountain Car, a standard testing domain in Reinforcement Learning, is a problem in which an under-powered car must drive up a steep hill. Since gravity is stronger than the car's engine, even at full throttle, the car cannot simply accelerate up the steep slope. The car is situated in a valley and must learn to leverage potential energy by driving up the opposite hill before the car is able to make it to the goal at the top of the rightmost hill. The domain has been used as a test bed in various Reinforcement Learning papers.The mountain car problem appeared first in Andrew Moore's PhD Thesis (1990).[1] It was later more strictly defined in Singh and Sutton's Reinforcement Leaning paper with eligibility traces.The problem became more widely studied when Sutton and Barto added it to their book Reinforcement Learning: An Introduction (1998). Throughout the years many versions of the problem have been used, such as those which modify the reward function, termination condition, and/or the start state.A car is on a one-dimensional track, positioned between two mountains. The goal is to drive up the mountain on the right; however, the car's engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum.

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cgtrader Platform
Animated
Rigged
Ready for 3D Printing
VR / AR / Low-poly
PBR
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UV Mapping
Unwrapped UVs: non_overlapping
Geometry: Polygon mesh
Polygons: 49493
Vertices: 28112

MOUNTAIN CAR Free low-poly 3D model

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