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256 k80 gpus on azure 256 p100 gpus on the gcp experience collected 300 years per day 180 years per day size of observation 3 3kb 36 8kb observations per second of gameplay 10 7 5 batch size 8 388 608 observations 1 048 576 observations batches per minute 20 60 comparisons with other game ai systems edit prior to openai five other ai versus human experiments and systems have been successfully used before such as jeopardy with watson chess with deep blue and go with alphago 23 24 25 in comparison with other games that have used ai systems to play against human players dota 2 differs as explained below 20 long run view the bots run at 30 frames per second for an average match time of 45 minutes which results in 80 000 ticks per game openai five observes every fourth frame generating 20 000 moves by comparison chess usually ends before 40 moves while go ends before 150 moves partially observed state of the game players and their allies can only see the map directly around them the rest of it is covered in a fog of war which hides enemies units and their movements thus playing dota 2 requires making inferences based on this incomplete data as well as predicting what their opponent could be doing at the same time by comparison chess and go are full information games as they do not hide elements from the opposing player 26 continuous action space each playable character in a dota 2 game known as a hero can take dozens of actions that target either another unit or a position the openai five developers allow the space into 170 000 possible actions per hero without counting the perpetual aspects of the game there are an average of 1 000 valid actions each tick by comparison the average number of actions in chess is 35 and 250 in go continuous observation space dota 2 is played on a large map with ten heroes five on each team along with dozens of buildings and non player character npc units the openai system observes the state of a game through developers bot api as 20 000 numbers that constitute all information a human is allowed to get access to a chess board is represented as about 70 lists whereas a go board has about 400 enumerations reception edit openai five have received acknowledgement from the ai tech and video game community at large microsoft founder bill gates called it a big deal as their victories required teamwork and collaboration 8 27 chess champion garry kasparov who lost against the deep blue ai in 1997 stated that despite their losing performance at the international 2018 the bots would eventually get there and sooner than expected 28 in a conversation with mit technology review ai experts also considered openai five system as a significant achievement as they noted that dota 2 was an extremely complicated game so even beating non professional players was impressive 26 pc gamer wrote that their wins against professional players was a significant event in machine learning 29 in contrast motherboard wrote that the victory was basically cheating due to the simplified hero pools on both sides as well as the fact that bots were given direct access to the api as opposed to using computer vision to interpret pixels on the screen 30 the verge wrote that the bots were evidence that the company s approach to reinforcement learning and its general philosophy about ai was yielding milestones 17 in 2019 deepmind unveiled a similar bot for starcraft ii alphastar like openai five alphastar used reinforcement learning and self play the verge reported that the goal with this type of ai research is not just to crush humans in various games just to prove it can be done instead it s to prove that with enough time effort and resources sophisticated ai software can best humans at virtually any competitive cognitive challenge be it a board game or a modern video game they added that the deepmind and openai victories were also a testament to the power of certain uses of reinforcement learning 31 it was openai s hope that the technology could have applications outside of the digital realm in 2018 they were able to reuse the same reinforcement learning algorithms and training code from openai five for dactyl a human like robot hand with a neural network built to manipulate physical objects 32 in 2019 dactyl solved the rubik s cube 33 references edit openai openai five openai com five archived from the original on 1 september 2018 retrieved 10 october 2018 savov vlad 14 august 2017 my favorite game has been invaded by killer ai bots and elon musk hype the verge archived from the original on 26 june 2018 retrieved 25 june 2018 frank blair hanley openai s bot beats top dota 2 player so badly that he quits venture beat archived from the original on 12 august 2017 retrieved 12 august 2017 openai 11 august 2017 dota 2 blog openai com archived from the original on 11 august 2017 retrieved 12 august 2017 openai 16 august 2017 more on dota 2 blog openai com archived from the original on 16 august 2017 retrieved 16 august 2017 1 2 simonite tom 25 june 2018 can bots outwit humans in one of the biggest esports games wired archived from the original on 25 june 2018 retrieved 25 june 2018 kahn jeremy 25 june 2018 a bot backed by elon musk has made an ai breakthrough in video game world bloomberg com archived from the original on 27 june 2018 retrieved 27 june 2018 1 2 bill gates says gamer bots from elon musk backed nonprofit are huge milestone in a i cnbc 28 june 2018 archived from the original on 28 june 2018 retrieved 28 june 2018 openai 18 july 2018 openai five benchmark blog openai com archived from the original on 26 august 2018 retrieved 25 august 2018 vincent james 25 june 2018 ai bots trained for 180 years a day to beat humans at dota 2 the verge archived from the original on 25 june 2018 retrieved 25 june 2018 savov vlad 6 august 2018 the openai dota 2 bots just defeated a team of former pros the verge archived from the original on 7 august 2018 retrieved 7 august 2018 hutson matthew 31 july 2019 just months old a game playing a i takes on the world medium retrieved 12 june 2025 simonite tom pro gamers fend off elon musk backed ai bots for now wired archived from the original on 24 august 2018 retrieved 25 august 2018 quach katyanna game over machines humans defeat openai bots once again at video games olympics the register archived from the original on 25 august 2018 retrieved 25 august 2018 openai 24 august 2018 the international 2018 results blog openai com archived from the original on 24 august 2018 retrieved 25 august 2018 wiggers kyle 13 april 2019 openai five defeats professional dota 2 team twice venture beat archived from the original on 13 april 2019 retrieved 13 april 2019 1 2 statt nick 13 april 2019 openai s dota 2 ai steamrolls world champion e sports team with back to back victories the verge vox media archived from the original on 15 april 2019 retrieved 15 april 2019 wiggers kyle 22 april 2019 openai s dota 2 bot defeated 99 4 of players in public matches venture beat archived from the original on 11 july 2019 retrieved 22 april 2019 dota 2 with large scale deep reinforcement learning pdf openai archived pdf from the original on 26 september 2024 retrieved 29 september 2024 1 2 3 openai 25 june 2018 openai five blog openai com archived from the original on 25 june 2018 retrieved 25 june 2018 why are ai researchers so obsessed with games quartz 4 august 2018 archived from the original on 4 august 2018 retrieved 4 august 2018 schulman john wolski filip dhariwal prafulla radford alec klimov oleg 2017 proximal policy optimization algorithms arxiv 1707 06347 cs lg gabbatt adam 17 february 2011 ibm computer watson wins jeopardy clash the guardian archived from the original on 21 september 2013 retrieved 17 february 2011 chess grandmaster garry kasparov on what happens when machines reach the level that is impossible for humans to compete business insider archived from the original on 29 december 2017 retrieved 29 december 2017 deepmind s go playing ai doesn t need human help to beat us anymore verge 18 october 2017 archived from the original on 18 october 2017 retrieved 18 october 2017 1 2 knight will 25 june 2018 a team of ai algorithms just crushed humans in a complex computer game mit tech review retrieved 25 june 2018 bill gates hails huge milestone for ai as bots work in a team to destroy humans at video game dota 2 business insider archived from the original on 27 june 2018 retrieved 27 june 2018 garry kasparov s twitter 24 august 2018 retrieved 24 august 2018 park morgan 11 august 2018 how the openai five tore apart a team of dota 2 pros pc gamer retrieved 25 may 2020 gault matthew 17 august 2018 openai is beating humans at dota 2 because it s basically cheating vice retrieved 25 may 2020 statt nick 30 october 2019 deepmind s starcraft 2 ai is now better than 99 8 percent of all human players the verge retrieved 25 may 2020 openai andrychowicz marcin baker bowen chociej maciek józefowicz rafał mcgrew bob pachocki jakub petron arthur plappert matthias powell glenn ray alex schneider jonas sidor szymon tobin josh welinder peter weng lilian zaremba wojciech 2019 learning dexterous in hand manipulation arxiv 1808 00177v5 cs lg openai akkaya ilge andrychowicz marcin chociej maciek litwin mateusz mcgrew bob petron arthur paino alex plappert matthias powell glenn ribas raphael 2019 solving rubik s cube with a robot hand arxiv 1910 07113v1 cs lg external links edit video games portal official website official blog v t e dota valve games defense of the ancients dota 2 artifact dota underlords esports the international 2014 2015 2016 2017 2018 2019 2021 2022 2023 2024 2025 notable teams alliance aurora gaming cdec gaming evil geniuses invictus gaming mineski newbee natus vincere og psg lgd team falcons team liquid team secret team spirit tnc pro team vici gaming virtus pro wings gaming notable players admiralbulldog ana arteezy aui_2000 ceb dendi fear ferrari_430 fly hao kuroky miracle n0tail ppd puppey s4 sumail topson universe related dota auto chess dota dragon s blood dota pro circuit free to play openai five vi sitter i ventrilo och spelar dota category v t e openai products chatgpt atlas deep research gpt store search foundation models gpt models gpt 1 gpt 2 gpt 3 gpt 3 5 gpt 4 gpt 4o o1 o3 gpt 4 5 gpt 4 1 o4 mini gpt oss gpt 5 gpt 5 1 gpt 5 2 gpt 5 4 gpt 5 5 gpt 5 6 gpt 6 astra specialized dall e codex gpt image sora whisper intelligent agents chatgpt agent codex gpt 5 3 codex operator people senior management current sam altman removal greg brockman sarah friar jakub pachocki scott schools fidji simo former dario amodei mira murati emmett shear board of directors current sam altman adam d angelo sue desmond hellmann zico kolter paul nakasone adebayo ogunlesi nicole seligman bret taylor chair former greg brockman 2017 2023 reid hoffman 2019 2023 will hurd 2021 2023 holden karnofsky 2017 2021 elon musk 2015 2018 ilya sutskever 2017 2023 helen toner 2021 2023 shivon zilis 2019 2023 larry summers 2023 2025 fidji simo 2024 2025 jvs stargate llc related apple intelligence ai dungeon autogpt generative pre trained transformer github copilot contrastive language image pre training deep learning langchain microsoft copilot openai and trade unions openai five transformer gpt j category v t e artificial intelligence ai history timeline glossary lists algorithms companies institutions projects software open source proprietary concepts automated reasoning automated planning constraint satisfaction knowledge representation parameter hyperparameter loss functions regression bias variance tradeoff double descent overfitting clustering gradient descent sgd quasi newton method conjugate gradient method backpropagation attention convolution normalization batchnorm activation softmax sigmoid rectifier gating weight initialization regularization datasets augmentation prompt engineering reinforcement learning q learning sarsa imitation policy gradient diffusion latent diffusion model autoregression adversary rag uncanny valley llm post training rlhf self supervised learning reflection recursive self improvement hallucination word embedding vibe coding blended ai open source ai sovereign ai symbolic ai neuro symbolic ai situated approach actor critic algorithm applications automated theorem proving general game playing machine learning in context learning artificial neural network deep learning language model large nmt reasoning model context protocol intelligent agent ai agent artificial human companion humanity s last exam lethal autonomous weapons laws generative ai weak ai hypothetical artificial general intelligence agi artificial superintelligence asi agent2agent protocol physical ai implementations audio visual alexnet wavenet human image synthesis hwr ocr computer vision speech synthesis 15 ai elevenlabs speech recognition whisper facial recognition alphafold text to image models aurora dall e firefly flux gpt image ideogram imagen midjourney recraft stable diffusion text to video models dream machine runway gen hailuo ai kling sora seedance veo music generation riffusion suno udio world models genie oasis text list of large language models project debater ibm watson ibm watsonx decisional alphago alphazero openai five self driving car muzero action selection autogpt robot control reasoning systems deductive classifiers expert systems inference engines knowledge based systems logic programs procedural reasoning systems semantic reasoners rule based systems cognitive architectures act r soar clarion lida opencog knowledge bases conceptnet wikidata dbpedia yago people alan turing warren sturgis mcculloch walter pitts john von neumann christopher d manning claude shannon shun ichi amari kunihiko fukushima takeo kanade marvin minsky john mccarthy nathaniel rochester allen newell cliff shaw herbert a simon oliver selfridge frank rosenblatt bernard widrow joseph weizenbaum seymour papert seppo linnainmaa paul werbos geoffrey hinton john hopfield jürgen schmidhuber yann lecun yoshua bengio lotfi a zadeh stephen grossberg alex graves james goodnight andrew ng fei fei li alex krizhevsky ilya sutskever oriol vinyals quoc v le ian goodfellow demis hassabis david silver andrej karpathy ashish vaswani noam shazeer aidan gomez john schulman mustafa suleyman jan leike daniel kokotajlo françois chollet neural network architectures neural turing machine differentiable neural computer transformer vision transformer vit recurrent neural network rnn long short term memory lstm gated recurrent unit gru echo state network multilayer perceptron mlp convolutional neural network cnn residual neural network rnn highway network mamba autoencoder variational autoencoder vae generative adversarial network gan graph neural network gnn political ai cold war ai in government ai safety alignment ai takeover elections ethics of ai eu ai act nationalism precautionary principle regulation of ai us virtual politician propaganda opposition to ai 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