42 Commits

Author SHA1 Message Date
bordeauxred
4f65b131aa
Feat/refactor collector (#1063)
Closes: #1058 

### Api Extensions
- Batch received two new methods: `to_dict` and `to_list_of_dicts`.
#1063
- `Collector`s can now be closed, and their reset is more granular.
#1063
- Trainers can control whether collectors should be reset prior to
training. #1063
- Convenience constructor for `CollectStats` called
`with_autogenerated_stats`. #1063

### Internal Improvements
- `Collector`s rely less on state, the few stateful things are stored
explicitly instead of through a `.data` attribute. #1063
- Introduced a first iteration of a naming convention for vars in
`Collector`s. #1063
- Generally improved readability of Collector code and associated tests
(still quite some way to go). #1063
- Improved typing for `exploration_noise` and within Collector. #1063

### Breaking Changes

- Removed `.data` attribute from `Collector` and its child classes.
#1063
- Collectors no longer reset the environment on initialization. Instead,
the user might have to call `reset`
expicitly or pass `reset_before_collect=True` . #1063
- VectorEnvs now return an array of info-dicts on reset instead of a
list. #1063
- Fixed `iter(Batch(...)` which now behaves the same way as
`Batch(...).__iter__()`. Can be considered a bugfix. #1063

---------

Co-authored-by: Michael Panchenko <m.panchenko@appliedai.de>
2024-03-28 18:02:31 +01:00
Dominik Jain
1714c7f2c7
High-level API: Fix number of test episodes being incorrectly scaled by number of envs (#1071) 2024-03-07 08:57:11 -08:00
Dominik Jain
bf391853dc Allow to configure number of test episodes in high-level API 2024-02-14 19:14:28 +01:00
Dominik Jain
1e5ebc2a2d Improve naming of callback classes and related methods/attributes
Add EpochStopCallbackRewardThreshold
2024-01-12 17:13:42 +01:00
Dominik Jain
1903a72ecb Improve logging 2023-12-14 19:31:30 +01:00
Dominik Jain
3caa3805f0 Fix: SamplingConfig.start_timesteps_random was not used 2023-12-14 11:47:32 +01:00
Dominik Jain
dae4000cd2 Revert "Depend on sensAI instead of copying its utils (logging, string)"
This reverts commit fdb0eba93d81fa5e698770b4f7088c87fc1238da.
2023-11-08 19:11:39 +01:00
Dominik Jain
7e6d3d627e Rename class ActorCriticModuleOpt -> ActorCriticOpt 2023-11-06 16:51:41 +01:00
Dominik Jain
fdb0eba93d Depend on sensAI instead of copying its utils (logging, string) 2023-10-27 20:15:58 +02:00
Dominik Jain
4b270eaa2d Add documentation, improve structure of 'module' package 2023-10-18 20:44:18 +02:00
Dominik Jain
97e21b5ddf Remove obsolete mixin, improve class names 2023-10-18 20:44:18 +02:00
Dominik Jain
fc695a5394 Use logging to report trainer epoch status 2023-10-18 20:44:18 +02:00
Dominik Jain
023b33c917 Make mypy happy 2023-10-18 20:44:18 +02:00
Dominik Jain
76e870207d Improve persistence handling
* Add persistence/restoration of Experiment instance
* Add file logging in experiment
* Allow all persistence/logging to be disabled
* Disable persistence in tests
2023-10-18 20:44:18 +02:00
Dominik Jain
f6d49774a2 Reify policy persistence, introducing Wold representation 2023-10-18 20:44:17 +02:00
Dominik Jain
686fd555b0 Extend tests, fixing some default behaviour 2023-10-18 20:44:17 +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
c7d0b6b4b2 Simplify agent factories by making better use of base classes 2023-10-18 20:44:17 +02:00
Dominik Jain
799beb79b4 Support discrete SAC in high-level API
* Changed machanism for reusing actor's preprocessing module in critics
  to avoid special handling in AgentFactory implementations, improving
  separation of concerns:
    - Added CriticFactoryReuseActor as the new critic factory
    - Added ActorFactoryTransientStorageDecorator to pass on the actor
      data
    - Added helper classes ActorFuture, ActorFutureProviderProtocol
* Add example atari_sac_hl
2023-10-18 20:44:17 +02:00
Dominik Jain
17ef4dd5eb Support REDQ in high-level API
* Implement example mujoco_redq_hl
* Add abstraction CriticEnsembleFactory with default implementations
  to suit REDQ
* Fix type annotation of linear_layer in Net, MLP, Critic
  (was incompatible with REDQ usage)
2023-10-18 20:44:17 +02:00
Dominik Jain
7af836bd6a Support TRPO in high-level API and add example mujoco_trpo_hl 2023-10-18 20:44:17 +02:00
Dominik Jain
383a4a6083 Support NPG in high-level API and add example mujoco_npg_hl 2023-10-18 20:44:17 +02:00
Dominik Jain
1bb52a6a5c Simplify critic/agent with optimizer generation
After adding a function to create ModuleOpt instances directly from
AgentFactory and CriticFactory,
  * several mixins for AgentFactories are no longer needed (deleted)
  * additional abstractions for ModuleOptFactories are no longer needed (deleted)
2023-10-18 20:44:17 +02:00
Dominik Jain
6bb3abb2f0 Support PG/Reinforce in high-level API
* Add example mujoco_reinforce_hl
* Extended functionality of ActorFactory to support creation of ModuleOpt
2023-10-18 20:44:17 +02:00
Dominik Jain
a161a9cf58 Improve type annotations, fix type issues and add checks 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
2671580c6c Add DDPG high-level API and MuJoCo example 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
Dominik Jain
cd79cf8661 Add A2C high-level API
* Add common based class for A2C and PPO agent factories
* Add default for dist_fn parameter, adding corresponding factories
* Add example mujoco_a2c_hl
2023-10-18 20:44:16 +02:00
Dominik Jain
d4e604b46e Move parameter transformation directly into parameter objects,
achieving greater separation of concerns and improved maintainability
2023-10-18 20:44:16 +02:00
Dominik Jain
e993425aa1 Add high-level API support for TD3
* Created mixins for agent factories to reduce code duplication
 * Further factorised params & mixins for experiment factories
 * Additional parameter abstractions
 * Implement high-level MuJoCo TD3 example
2023-10-18 20:44:16 +02:00
Dominik Jain
367778d37f Improve high-level policy parametrisation
Policy objects are now parametrised by converting the parameter
dataclass instances to kwargs, using some injectable conversions
along the way
2023-10-18 20:44:16 +02:00
Dominik Jain
37dc07e487 Add high-level experiment builder interface 2023-10-18 20:44:05 +02:00
Dominik Jain
3fd60f9e70 Unify PPO configuration objects, use experiment-specific configuration
in mujoco_ppo_hl
2023-10-09 13:02:29 +02:00
Dominik Jain
8ec42009cb Move RLSamplingConfig to separate module config, fixing cyclic import 2023-10-09 13:02:23 +02:00
Dominik Jain
d26b8cb40c Use experiment-specific config in mujoco_sac_hl, adding auto-alpha 2023-10-09 13:02:18 +02:00
Dominik Jain
997b520580 Refactoring, dropping package config 2023-10-09 13:02:07 +02:00
Dominik Jain
316eb3c579 Add SAC high-level interface 2023-10-09 13:02:01 +02:00
Dominik Jain
16ed5fd2a5 Initial high-level interfaces, demonstrated in mujoco_ppo_hl 2023-10-09 13:01:35 +02:00