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

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Sample-efficient reinforcement learning in Minecraft

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graded 85647
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  • CU-SF NeurIPS 2020: Procgen Competition
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  • CU-SF NeurIPS 2020: MineRL Competition
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NeurIPS 2019 : MineRL Competition

Evaluation state changes to "error" after successfully completing many episodes

Over 3 years ago

Hello, our submission met an unexpected error after being evaluated for about 19 hours and having received a list of scores. The agent had successfully finished 50+ episodes with rewards, but somehow the evaluation state changed to β€œerror” and the submission became β€œfailed”. We have carefully inspected the logs, but it shows no error during the evaluation, so we really want to know the reasons.
Here is the end of the logs:

2020-09-18T12:25:48.915896553Z 2020-09-18 12:25:48 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:48] [Server thread/INFO]: [STDOUT]: Warning: managed 11/20 ticks this second.
2020-09-18T12:25:49.95209292Z 2020-09-18 12:25:49 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:49] [Server thread/INFO]: [STDOUT]: Warning: managed 12/20 ticks this second.
2020-09-18T12:25:50.163278504Z 2020-09-18 12:25:50 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:50] [Client thread/INFO]: [CHAT] Β§cΒ§l0…
2020-09-18T12:25:50.173719115Z 2020-09-18 12:25:50 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:50] [Server thread/INFO]: [STDOUT]: SERVER request state: DORMANT
2020-09-18T12:25:50.179293551Z 2020-09-18 12:25:50 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:50] [Server thread/INFO]: [STDOUT]: SERVER enter state: CLEAN_UP
2020-09-18T12:25:50.185303103Z 2020-09-18 12:25:50 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:50] [Server thread/INFO]: [STDOUT]: SERVER request state: CLEAN_UP
2020-09-18T12:25:50.293747746Z 2020-09-18 12:25:50 aicrowd-neurips-2020-minerl-challenge-83001-9136 minerl.env.malmo.instance.1716ad[1348289] DEBUG [12:25:50] [Server thread/INFO]: [STDOUT]: SERVER enter state: DORMANT
2020-09-18T12:25:53.173893457Z 2020-09-18 12:25:53 aicrowd-neurips-2020-minerl-challenge-83001-9136 root[1348289] INFO Inference End…
2020-09-18T12:25:53.174399012Z 2020-09-18 12:25:53 aicrowd-neurips-2020-minerl-challenge-83001-9136 crowdai_api.events[1348289] DEBUG Registering crowdAI API Event : CROWDAI_EVENT_INFO inference_ended {β€˜event_type’: β€˜minerl_challenge:inference_ended’} # with_oracle? : False
2020-09-18T12:25:53.175598194Z None
2020-09-18T12:25:53.175620833Z [0] Starting evaluator.
2020-09-18T12:25:53.175627878Z [1] Starting evaluator.
2020-09-18T12:25:53.175660057Z current total_reward in this episode is (some score)
2020-09-18T12:25:53.175667197Z [0] Episode complete
2020-09-18T12:25:53.175673348Z [0] Episode complete
… (omited many lines) …
2020-09-18T12:25:53.176192674Z [49] Episode complete
2020-09-18T12:25:53.80812693Z Ending testing phase

P.S., we use pytorch 1.6.0 and CPU mode in this submission. May I ask which version of CUDA do you use on the server? or can the server support Pytorch 1.6.0 in GPU mode? Thanks a lot!

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