Edouard Leurent

Hi @hildebrandt-carl Please not that the gif in the readme is not representative of all episodes obtained with the final policy, some of them still result in collisions (this can...

Hi @hildebrandt-carl, sorry for the delay I have run some experiments and I do reproduce some of your results (left lane + idle behaviour until crash), so there may be...

And just to answer some of your comments: > @hildebrandt-carl : The only major difference was that I only trained them for half the number of time-steps (5e4). However looking...

EDIT: for good measure, I tried to train a DQN model using my own [rl-agents](https://github.com/eleurent/rl-agents) repository rather than stablebaselines. Here is the policy that I get after 1500 episodes (of...

Hi @hildebrandt-carl , no worries! This morning I started investigating the differences of hyperparameters between SB3 and my own rl-agents, and after fixing a few of them I get much...

@PhanindraParashar that looks like great idea, but I think you should [open a separate discussion](https://github.com/eleurent/highway-env/discussions/new) for this :)

That seems like a good idea indeed!

Mmmmh, right now the vehicle spawn mechanism is a bit simplistic, it ensures that the vehicles initially do not collide but their initial velocity are chosen randomly, which means that...

Hi @xph123123 In order to implement specific scenarios, the best would be to create new environments according to your need. See the documentation about that: https://highway-env.readthedocs.io/en/latest/make_your_own.html * The road shape...

Yes, that is probably why. You can do: ```env.configure({"real_time_rendering": True})``` EDIT: Or set this value in the env's `default_config()` method