Add to ORKGDeep Reinforcement Learning has shown great progress in domains such as the Atari Arcade Learning Environment. The problem, however, is that the agent playing the game requires many interactions before it starts to show good performance. This is okay for some domains such as video games, but as we start to look towards integrating deep reinforcement learning into real world applications, we need to minimize the number of interactions required. Interactive demonstrations help expedite the agent’s learning process by providing a shared environment between the agent and the demonstrator to take turns in. This helps the agent learn directly from the demonstrator and allows the demonstrator to correct deviations that the agent made from the task...
Deep learning techniques have shown success in learning from raw high dimensional data in various a...
Robots are extending their presence in domestic environments every day, it being more common to see ...
interactive teaching mode has been widely used in the teaching process of all levels and courses. Wi...
Deep reinforcement learning is rapidly gaining attention due to recent successes in a variety of pro...
Deep reinforcement learning (RL) has achieved several high profile successes in difficult decision-m...
Typically, a reinforcement learning agent interacts with the environment and learns how to select an...
Deep learning techniques have shown success in learning from raw high dimensional data in various ap...
Reinforcement learning from expert demonstrations (RLED) is the intersection of imitation learning w...
Deep learning techniques have shown success in learning from raw high-dimensional data in various ap...
The use of human demonstrations in reinforcement learning has proven to significantly improve agent ...
Deep reinforcement learning is a technique to teach machines tasks based on trial and error experien...
Reinforcement Learning (RL) is a machine learning paradigm behind many successes in games, robotics ...
Off-the-shelf Reinforcement Learning (RL) algorithms suffer from slow learning performance, partly b...
Reinforcement learning algorithms enable an agent to optimize its behavior from interacting with a s...
In the past decade, learning algorithms developed to play video games better than humans have become...
Deep learning techniques have shown success in learning from raw high dimensional data in various a...
Robots are extending their presence in domestic environments every day, it being more common to see ...
interactive teaching mode has been widely used in the teaching process of all levels and courses. Wi...
Deep reinforcement learning is rapidly gaining attention due to recent successes in a variety of pro...
Deep reinforcement learning (RL) has achieved several high profile successes in difficult decision-m...
Typically, a reinforcement learning agent interacts with the environment and learns how to select an...
Deep learning techniques have shown success in learning from raw high dimensional data in various ap...
Reinforcement learning from expert demonstrations (RLED) is the intersection of imitation learning w...
Deep learning techniques have shown success in learning from raw high-dimensional data in various ap...
The use of human demonstrations in reinforcement learning has proven to significantly improve agent ...
Deep reinforcement learning is a technique to teach machines tasks based on trial and error experien...
Reinforcement Learning (RL) is a machine learning paradigm behind many successes in games, robotics ...
Off-the-shelf Reinforcement Learning (RL) algorithms suffer from slow learning performance, partly b...
Reinforcement learning algorithms enable an agent to optimize its behavior from interacting with a s...
In the past decade, learning algorithms developed to play video games better than humans have become...
Deep learning techniques have shown success in learning from raw high dimensional data in various a...
Robots are extending their presence in domestic environments every day, it being more common to see ...
interactive teaching mode has been widely used in the teaching process of all levels and courses. Wi...