Archives for reinforcement learning - Page 14
Ever wonder how we instinctively act on a certain situation when we face danger without the need for a conscious plan of action? This is because we can predict the future course of an instance, even in new situations. We do this by developing a mental model of the world based on what we are […]
The post Reinforcement Learning That Dreams appeared first on Analytics India Magazine.
Games like chess, GO, and Atari have become testbeds of testing deep reinforcement learning algorithms. Companies like DeepMind and OpenAI have done a tremendous amount of research into this field and have set up gyms that can be used to train reinforcement learning agents.Here we take a look at top works that have set a […]
The post Top 6 Baselines For Reinforcement Learning Algorithms On Games appeared first on Analytics India Magazine.
Various Benchmarks have played an important role in various domains of machine learning such as MNIST (LeCun et al., 1998), Caltech101 (Fei-Fei et al., 2006), CIFAR (Krizhevsky & Hinton, 2009), ImageNet (Deng et al., 2009). However, there is a lack of standardized testbed for Reinforcement Learning algorithms. Various benchmarks released by OpenAI such as Procgen,…
The post A Hands-On Guide on Training RL Agents on Classic Control Theory Problems appeared first on Analytics India Magazine.
In the last two articles, the focus has been to measure the generalization performance of Reinforcement learning agents using Gym Retro and Procgen environments. Both these environments used 2-D environments and were limited to the first player arcade gaming experience. However, procgen is procedurally generated but it still has the limitations of 2-D and hardly…
The post Vision, Control, Planning, and Generalization in RL appeared first on Analytics India Magazine.
The age of algorithmic innovations has now entered a new realm where the researchers are finding flaws in the techniques through adversarial attacks. In the case of computer vision problems, the role of adversarial attacks has been well established, and there have been several startups that are concentrating only on adversarial attacks. Any talk of…
The post Adversarial Attacks That Can Corrupt Reinforcement Learning Systems appeared first on Analytics India Magazine.
In Reinforcement learning, the generalization of the agents is benchmarked on the environments they have been trained on. In a supervised learning setting, this would mean testing the model using the training dataset. OpenAI has open-sourced Procgen-benchmark emphasizing the generalization for RL agents as they struggle to generalize in new environments. Procgen consists of 16…
The post Generalization in Reinforcement Learning – Exploration vs Exploitation appeared first on Analytics India Magazine.
In recent years, the emergence of deep reinforcement learning (RL) has resulted in the growing demand for their evaluation. To implement and test RL models quickly and reliably, several RL libraries have been developed. Here we list we such libraries that make the job of an RL researcher easy: Pyqlearning Pyqlearning is a Python library…
The post Top 7 Python Libraries For Reinforcement Learning appeared first on Analytics India Magazine.
Benchmarking AI agents inside simulated environments have become the new norm. Researchers are leveraging a wide range of video games to train and evaluate AI models for improving their performance. The idea behind using games is to achieve generalisation for models. To attain true AI, researchers test them in an environment in which the models…
The post How This Japanese Video Game Is Being Used To Benchmark AI Models appeared first on Analytics India Magazine.
The entire AI training process occurs during the simulation and without needing to go through the tedious process of data collection that is both difficult and expensive. While artificial intelligence is impacting the world in different ways, the capability of machine learning algorithms profoundly relies upon the data. Reinforcement learning specifically where the model learns…
The post How Training AI Models In Simulated Environments Is Helping Researchers appeared first on Analytics India Magazine.
Among the various applications of reinforced learning, DeepMind is now using RL to train its new reinforcement agent, Dreamer to learn to predict the actions of an object based on its current state. In short: its immediate future. Reinforcement learning is that area of machine learning where an agent takes suitable actions in order to…
The post How DeepMind’s Reinforcement Agent Dreamer Can Predict The Future appeared first on Analytics India Magazine.