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DITTO
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DITTO
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# DITTO: Offline Imitation Learning with World Models [Link to paper](https://arxiv.org/abs/2302.03086) ## Getting Started Code is currently considered pre-release, and not ready for significant external use. Beware. To get started quickly, download and unpack the following tarball: ```sh wget https://www.robots.ox.ac.uk/\~bdemoss/testdata.tar.gz ``` which includes 10 episodes from a strong PPO agent playing Breakout, as well as a converged world model for Breakout. The episodes should be put in their own directory, WM can be wherever. Adjust the directories in src/config/test_config.yaml to match these directories (command line passing coming). Then, run main.py - then let the debugging begin. ## Other Known numpy dependency bug, should be fixed with new gym envs from Farama coming Feb 23: ``` noops = self.unwrapped.np_random.integers(1, self.noop_max + 1) ``` is the secret problem
