7 Commits

Author	SHA1	Message	Date
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