Archives for Atari games
In a paper published by DeepMind, a team of scientists from Alphabet’s UK-based research division has claimed that Agent57 – the first deep reinforcement learning agent – has outperformed humans on all 57 Atari 2600 games in the Arcade Learning Environment data set. Agent57 combines an algorithm to efficiently explore a meta controller which adapts…
The post How DeepMind’s Agent57 Outperformed Humans In 57 Atari Games 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.