Atari Games

The Atari 2600 Games task involves training an agent to achieve high scores in Atari 2600 game environments. This task utilizes deep reinforcement learning techniques to enable the agent to learn and optimize strategies autonomously, in order to handle complex game states and dynamic environments. Not only does this task evaluate the learning ability and decision-making level of the agent, but it also promotes the development and innovation of game AI.