[PDF] Top 20 Reinforcement learning applied to RTS games
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Reinforcement learning applied to RTS games
... machine learning techniques to generalize the state, assuming we can define features capable of representing the ...learn to act in states it has never visited using informa- tion from such similar ... See full document
8
REINFORCEMENT LEARNING: The application to Autonomous Biomimetic Underwater Vehicles control
... and applied in a simulated environment. As the BUV will learn how to control its movements from scratch, the learning phase will start in such a simulated environment to prevent actuator wear, ... See full document
114
Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy
... up to 7 players, each having the objective of capturing 18 Supply Centers that are placed over 75 possible Provinces, by moving the player’s owned units across the ...other to create ...order to ... See full document
93
Build, measure, learn - validatied learning applied to a skateboard start-up
... tied to other youth cultures, urban movements and music such as Punk, Graffiti or Hip ...developed to an industry and nowadays skateboarding is a professional sport where top athletes earn millions of ... See full document
29
Dynamic equilibrium through reinforcement learning
... sensors to be presented to the agent, there is no guarantee that the information is in a format directly useable by the agent’s internal processes and so some form of transformation may have to be ... See full document
99
Reinforcement and imitation learning applied to autonomous aerial robot contro : Aprendizado por reforço e por imitação aplicado ao controle de robôs autônomos aéreos
... block to stack ...how to recover), and recoverable failure (where the policy ran out of ...enough to handle the difficult problem of dextrous ...beginning to explore this model and promised ... See full document
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Games Applied to Children with Motor Impairment using the Myo Wearable Device
... is to develop and evaluate a game adapted to be used with Myo, a wearable device that allows the control of applications through the recognition of gestures, to provide better accessibility to ... See full document
14
A Framework for practice - based learning applied to computer programming
... someone to acquire, improve or even maintain a complex skill it is necessary to practice it on a regular basis [GP05, ...tends to be ineffective or even detrimental to ...music. ... See full document
307
Reinforcement Learning for Primary care e Appointment Scheduling
... machine learning field. Such methods seek to approximate functions from data that can be used to predict outcomes to drive decision ...examples to train machine learning systems ... See full document
116
Techniques for batch reinforcement learning in robotics
... Batch Reinforcement Learning methods are able to learn by processing a fixed in- teraction ...extended to interleave interaction with the environment with updating the value function ... See full document
200
Otimização de portfólio para uma carteira de criptomoedas: uma abordagem em reinforcement learning
... attached to a considerable liquidity inside the spectrum of financial markets, allows for new investment opportunities for investors that look for risky ...aims to find a model of portfolio optimization ... See full document
39
Reinforcement learning across development in humans
... how to read yet, the instructor read the instructions out ...different games, the best action for each one of them will probably be ...order to avoid that the attention of the closest participants ... See full document
169
Meta-level reasoning in reinforcement learning
... Reinforcement learning is a technique often used to gener- ate an optimal (or near-optimal) agent in a stochastic environ- ment in the absence of knowledge about the reward function of this ... See full document
61
A Reinforcement Learning Environment for Cooperative Multi-Agent Games: Enhancing Negotiation Skills
... up to 7 players, each having the objective of capturing 18 Supply Centers that are placed over 75 possible Provinces, by moving the player’s owned units across the ...other to create ...order to ... See full document
91
Reinforcement Learning applied the games of Poker
... developed to address the issues found in the Restrict Nash Response ...strategy to use for every information set like in RNR, in Data Biased response exists a one probability for each information ...tries ... See full document
86
Poker Learner: Reinforcement Learning Applied to Texas Hold'em Poker
... While games have taken great benefits from AI research – especially for non-human player characters – the field also has taken great interest in ...easy to understand rules of the game, and the problem of ... See full document
91
Weighted Multiple Kernel Learning for Breast Cancer Diagnosis applied to Mammograms
... Advances in technology have helped reduce tumors classification errors along the years. A number of research works have been able to discriminate between malignant and benign cases. Dhawan et al. ( 1996 ) uses ... See full document
85
E-Learning at Universidade Aberta: an empirical study applied to management courses
... the learning process if the technology is perceived as being complex and not useful to enhanced performance, and thus a distraction to ...pretend to identify students’ expectations related ... See full document
7
Personal Learning Environments (PLE) in a distance learning course on mathematics applied to business
... technology to bear on teaching and learning, and generally its first priority is to meet the needs of the organization in terms of identity integration, auto-population of courses, ease of ... See full document
12
Automated database indexing using model-free reinforcement learning
... hyperparameters, learning rate and discount factor, are used in the update equation of the value ...related to experience replay, where replay memory size defines the amount of experiences the agent is ... See full document
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