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OA5 TSR9242 Mad Monkey Vs The Dragon Claw
OpenAI Five is a computer program by OpenAI that plays the five-on-five video game ''Dota 2''. Its first public appearance occurred in 2017, where it was demonstrated in a live one-on-one game against the professional player, Dendi, who lost to it. The following year, the system had advanced to the point of performing as a full team of five, and began playing against and showing the capability to defeat professional teams. By choosing a game as complex as ''Dota 2'' to study machine learning, OpenAI thought they could more accurately capture the unpredictability and continuity seen in the real world, thus constructing more general problem-solving systems. The algorithms and code used by OpenAI Five were eventually borrowed by another neural network in development by the company, one which controlled a physical robotic hand. OpenAI Five has been compared to other similar cases of artificial intelligence (AI) playing against and defeating humans, such as AlphaStar in the video game ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Program
A computer program is a sequence or set of instructions in a programming language for a computer to execute. Computer programs are one component of software, which also includes documentation and other intangible components. A computer program in its human-readable form is called source code. Source code needs another computer program to execute because computers can only execute their native machine instructions. Therefore, source code may be translated to machine instructions using the language's compiler. ( Assembly language programs are translated using an assembler.) The resulting file is called an executable. Alternatively, source code may execute within the language's interpreter. If the executable is requested for execution, then the operating system loads it into memory and starts a process. The central processing unit will soon switch to this process so it can fetch, decode, and then execute each machine instruction. If the source code is requested for execution, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Twitch (service)
Twitch is an American video live streaming service that focuses on video game live streaming, including broadcasts of esports competitions, in addition to offering music broadcasts, creative content, and " in real life" streams. Twitch is operated by Twitch Interactive, a subsidiary of Amazon.com, Inc. It was introduced in June 2011 as a spin-off of the general-interest streaming platform Justin.tv. Content on the site can be viewed either live or via video on demand. The games shown on Twitch's homepage are listed according to audience preference and include genres such as real-time strategy games (RTS), fighting games, racing games, and first-person shooters. The popularity of Twitch eclipsed that of its general-interest counterpart. In October 2013, the website had 45 million unique viewers, and by February 2014, it was considered the fourth-largest source of peak Internet traffic in the United States. At the same time, Justin.tv's parent company was re-branded as Twitch In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Policy Gradient Method
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labelled input/output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). The environment is typically stated in the form of a Markov decision process (MDP), because many reinforcement learning algorithms for this context use dynamic programming techniques. The main difference between the classical dynamic programming methods and reinforcement learning algorithms is that the latter do not assume knowledge of an exact mathematica ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Proximal Policy Optimization
Proximal Policy Optimization (PPO) is a family of model-free reinforcement learning algorithms developed at OpenAI in 2017. PPO algorithms are policy gradient methods, which means that they search the space of policies rather than assigning values to state-action pairs. PPO algorithms have some of the benefits of trust region policy optimization (TRPO) algorithms, but they are simpler to implement, more general, and have better sample complexity. It is done by using a different objective function. See also * Reinforcement learning * Temporal difference learning * Game theory Game theory is the study of mathematical models of strategic interactions among rational agents. Myerson, Roger B. (1991). ''Game Theory: Analysis of Conflict,'' Harvard University Press, p.&nbs1 Chapter-preview links, ppvii–xi It has appli ... References External links Announcement of Proximal Policy Optimization by OpenAIGitHub repo {{compu-AI-stub Machine learning algorithms Reinfor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Long Short-term Memory
Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images), but also entire sequences of data (such as speech or video). For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, robot control, video games, and healthcare. The name of LSTM refers to the analogy that a standard RNN has both "long-term memory" and "short-term memory". The connection weights and biases in the network change once per episode of training, analogous to how physiological changes in synaptic strengths store long-term memories; the activation patterns in the network change once per time-step, analogous to how the moment-to-moment change in electric firing patterns in the brain store short- ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
San Francisco
San Francisco (; Spanish language, Spanish for "Francis of Assisi, Saint Francis"), officially the City and County of San Francisco, is the commercial, financial, and cultural center of Northern California. The city proper is the List of California cities by population, fourth most populous in California and List of United States cities by population, 17th most populous in the United States, with 815,201 residents as of 2021. It covers a land area of , at the end of the San Francisco Peninsula, making it the second most densely populated large U.S. city after New York City, and the County statistics of the United States, fifth most densely populated U.S. county, behind only four of the five New York City boroughs. Among the 91 U.S. cities proper with over 250,000 residents, San Francisco was ranked first by per capita income (at $160,749) and sixth by aggregate income as of 2021. Colloquial nicknames for San Francisco include ''SF'', ''San Fran'', ''The '', ''Frisco'', and '' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OG (esports)
OG is a professional esports organisation based in Europe. Formed in 2015, they are best known for their ''Dota 2'' team who won The International 2018 and 2019 tournaments. They also have a '' Counter-Strike: Global Offensive'' team. History '' Dota 2'' Foundation and early success (2015–2017) OG was founded as "(monkey) Business" by players Tal "Fly" Aizik and Johan "N0tail" Sundstein, who were former Team Secret players, along with David "MoonMeander" Tan, Amer "Miracle-" Al-Barkawi, and Andreas "Cr1t-" Nielsen in August 2015. Soon after a dominating run through the European qualifiers for the Frankfurt Major, they adopted the moniker OG. They went on to win the inaugural Dota 2 Major Championship in Frankfurt in November 2015, earning 1 million in prize money. Despite placing in the bottom half of the next Major in Shanghai in March 2016, the team would rebound and take first place at the Manila Major in June 2016, becoming the first team to repeat as champion ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Best-of-three
There are a number of formats used in various levels of competition in sports and games to determine an overall champion. Some of the most common are the ''single elimination'', the ''best-of-'' series, the ''total points series'' more commonly known as ''on aggregate'', and the ''round-robin tournament''. Single elimination A single-elimination ("knockout") playoff pits the participants in one-game matches, with the loser being dropped from the competition. Single-elimination tournaments are often used in individual sports like tennis. In most tennis tournaments, the players are seeded against each other, and the winner of each match continues to the next round, all the way to the final. When a playoff of this type involves the top four teams, it is sometimes known as the Shaughnessy playoff system, after Frank Shaughnessy, who first developed it for the International League of minor league baseball. Variations of the Shaughnessy system also exist, such as in the promotion pl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
The International 2018
The International 2018 (TI8) was the eighth iteration of The International, an annual ''Dota 2'' world championship esports tournament. Hosted by Valve, the game's developer, TI8 followed a year-long series of tournaments awarding qualifying points, known as the Dota Pro Circuit (DPC), with the top eight ranking teams being directly invited to the tournament. In addition, ten more teams earned invites through qualifiers that were held in June 2018, with the group stage and main event played at the Rogers Arena in Vancouver in August. The best-of-five grand finals took place between OG and PSG.LGD, with OG winning the series 3–2. Their victory was considered a Cinderella and underdog success story, as they had come from the open qualifiers and were not favored to win throughout the competition. As with every International from 2013 onwards, the prize pool was crowdfunded by the ''Dota 2'' community via its battle pass feature, with the total being over 25 million, making it o ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labelled input/output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). The environment is typically stated in the form of a Markov decision process (MDP), because many reinforcement learning algorithms for this context use dynamic programming techniques. The main difference between the classical dynamic programming methods and reinforcement learning algorithms is that the latter do not assume knowledge of an exact mathematica ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Elapsed Real Time
Elapsed real time, real time, wall-clock time, wall time, or walltime is the actual time taken from the start of a computer program to the end. In other words, it is the difference between the time at which a task finishes and the time at which the task started. Wall time is thus different from CPU time, which measures only the time during which the processor is actively working on a certain task. The difference between the two can arise from architecture and run-time dependent factors, e.g. programmed delays or waiting for system resources to become available. Consider the example of a mathematical program that reports that it has used "CPU time 0m0.04s, Wall time 6m6.01s". This means that while the program was active for six minutes and one second, during that time the computer's processor spent only 4/100 of a second performing calculations for the program. Conversely, programs running in parallel on more than one processing unit can spend CPU time many times beyond their elap ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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