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The environments

Highway

env = gymnasium.make("highway-v0")

In this task, the ego-vehicle is driving on a multilane highway populated with other vehicles. The agent's objective is to reach a high speed while avoiding collisions with neighbouring vehicles. Driving on the right side of the road is also rewarded.


The highway-v0 environment.

A faster variant, highway-fast-v0 is also available, with a degraded simulation accuracy to improve speed for large-scale training.

Merge

env = gymnasium.make("merge-v0")

In this task, the ego-vehicle starts on a main highway but soon approaches a road junction with incoming vehicles on the access ramp. The agent's objective is now to maintain a high speed while making room for the vehicles so that they can safely merge in the traffic.


The merge-v0 environment.

Intersection

env = gymnasium.make("intersection-v0")

An intersection negotiation task with dense traffic.


The intersection-v0 environment.

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