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denys88

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Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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graded 70122

Multi-Agent Reinforcement Learning on Trains

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Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!

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Multi-Agent Reinforcement Learning on Trains

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Dr. Derks Mutant Battlegrounds

Challenge announcement | GPU submissions, build & run logs, and more

Almost 4 years ago

can confirm. We got the same issues.
Also it feels like that if I do same submission twice I get different results( it could be an issue on my side too).

Also I have suggestion that games should be symmetric. It means if you generated 1000 random combinations vs other 1000 combinations then sides should be swapped and play again the same combinations but for different sides.

Random items generation question

Almost 4 years ago

I think empty slots are bad idea.
Removing empty slots will solve half of the issues.

Random items generation question

Almost 4 years ago

Reviewing observations after reset I saw situation where one of my units had only one item.
Also I saw they had same items at least on the tail.

Random items generation question

Almost 4 years ago

Possible solution is to remove very weak combinations.
Left only 10-20 possible combinations or something like this.

Random items generation question

Almost 4 years ago

Looks like when we reset DerkEnv we generate a new item set everytime. Which is good.
But I’ve found that my bots sometimes didn’t get all 3 items.
Is it possible during evaluation? If not I believe it should be fixed. And I think it should be configurable in the DerkEnv.reset method. So every reset I can choose what items to use.

NeurIPS 2020: Procgen Competition

Could you confirm that distribution_mode is hard?

Over 4 years ago

Thank you very much for the answer.
I misunderstood that: ’ In both cases, agents will be evaluated on the full distribution of levels.’

Could you confirm that distribution_mode is hard?

Over 4 years ago

I was pretty sure it is hard but in starter kit sources I saw:
β€œdistribution_mode” : β€œeasy” # What variant of the levels to use, the options are β€œeasy”, β€œhard”, β€œextreme”, β€œmemory”, β€œexploration”. All games support β€œeasy” and β€œhard”, while other options are game-specific. The default is β€œhard”. Switching to β€œeasy” will reduce the number of timesteps required to solve each game and is useful for testing or when working with limited compute resources. NOTE : During the evaluation phase (rollout), this will always be overriden to β€œeasy”

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