dqn_per.rst

Atari 2600: Pong with DQN & Prioritized Experience Replay

In this notebook we solve the Pong environment using a version of a DQN </examples/stubs/dqn> agent, trained using a PrioritizedReplayBuffer <coax.experience_replay.PrioritizedReplayBuffer> instead of the standard SimpleReplayBuffer <coax.experience_replay.SimpleReplayBuffer>.

This notebook periodically generates GIFs, so that we can inspect how the training is progressing.

After a few hundred episodes, this is what you can expect:

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dqn_per.py

dqn_per.py