Questions tagged [atari-games]

For questions related to the Atari games, which are often used in reinforcement learning (RL) as standard problems to test new RL algorithms or methods.

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Why isn't my DQN agent improving when trained on Atari Breakout?

Lately, I have implemented DQN for Atari Breakout. Here is the code: https://github.com/JeremieGauthier/AI_Exercices/blob/master/Atari_Breakout/DQN_Breakout.py I have trained the agent for over ...
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How was the DQN trained to play many games?

Some people claim that DQN was used to play many Atari games. But what actually happened? Was DQN trained only once (with some data from all games) or was it trained separately for each game? What was ...
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34 views

Getting score values from openai gym rom

I am using the SpaceInvaders-ram-v0 from OpenAI gym. I want to extract the game's current score using the RAM values. How do I get it? I tried doing some research ...
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Questions performance SimPLe pong for AI demo

For a demo I need to develop an AI solution to learn how to play pong. I have the following requirements: Computer needs to play against a human player. Learn while playing the game. Poor AI result ...
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1answer
43 views

IQN bellman target: using Z vs using Q

IQN paper (https://arxiv.org/abs/1806.06923) uses distributional bellman target: $$ \delta^{\tau,\tau'}_t = r_t + \gamma Z_{\tau'}(x_{t+1}, \pi_{\beta}(x_{t+1})) - Z_{\tau}(x_t, a_t) $$ And optimizes: ...
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When can we say an RL algorithm learns an Atari game?

If an Atari game's rewards can be between $-100$ and $100$, when can we say an agent learned to play this game? Should it get the reward very close to $100$ for each instance of the game? Or it is ...