Dominik Jain
83048788a1
Add generalised DQN network representation, adding specialised class for feature_only=True
2023-10-18 20:44:18 +02:00
Dominik Jain
a8a367c42d
Support IQN in high-level API
...
* Add example atari_iqn_hl
* Factor out trainer callbacks to new module atari_callbacks
* Extract base class for DQN-based agent factories
* Improved module factory interface design, achieving higher generality
2023-10-18 20:44:17 +02:00
Dominik Jain
837ff13c04
Reorder ExperimentBuilder args (EnvFactory first)
2023-10-18 20:44:17 +02:00
Dominik Jain
d269063e6a
Remove 'RL' prefix from class names
2023-10-18 20:44:17 +02:00
Dominik Jain
b54fcd12cb
Change high-level DQN interface to expect an actor instead of a critic,
...
because that is what is functionally required
2023-10-18 20:44:16 +02:00
Dominik Jain
1cba589bd4
Add DQN support in high-level API
...
* Allow to specify trainer callbacks (train_fn, test_fn, stop_fn)
in high-level API, adding the necessary abstractions and pass-on
mechanisms
* Add example atari_dqn_hl
2023-10-18 20:44:16 +02:00
Dominik Jain
9f0a410bb1
Log full experiment configuration, adding string representations to relevant classes
2023-10-18 20:44:16 +02:00
Dominik Jain
6b6d9ea609
Add support for discrete PPO
...
* Refactored module `module` (split into submodules)
* Basic support for discrete environments
* Implement Atari env. factory
* Implement DQN-based actor factory
* Implement notion of reusing agent preprocessing network for critic
* Add example atari_ppo_hl
2023-10-18 20:44:16 +02:00
