saymrwulf/stable-baselines3
1
0
Fork 0
mirror of https://github.com/saymrwulf/stable-baselines3.git synced 2026-09-05 20:30:42 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
stable-baselines3/stable_baselines3/a2c/policies.py

10 lines
342 B
Python
Raw Normal View History

Review of code (A2C, PPO and refactoring) (#35) * Split torch module code into torch_layers file * Updated reference to CNN * Change 'CxWxH' to 'CxHxW', as per common notion * Fix missing import in policies.py * Move PPOPolicy to OnlineActorCriticPolicy * Create OnPolicyRLModel from PPO, and make A2C and PPO inherit * Update A2C optimizer comment * Clean weight init scales for clarity * Fix A2C log_interval default parameter * Rename 'progress' to 'progress_remaining * Rename 'Models' to 'Algorithms' * Rename 'OnlineActorCriticPolicy' to 'ActorCriticPolicy' * Move static functions out from BaseAlgorithm * Move on/off_policy base algorithms to their own files * Add files for A2C/PPO * Fix docs * Fix pytype * Update documentation on OnPolicyAlgorithm * Add proper doctstring for on_policy rollout gathering * Add bit clarification on the mlppolicy/cnnpolicy naming * Move static function is_vectorized_policies to utils.py * Checking docstrings, pep8 fixes * Update changelog * Clean changelog * Remove policy warnings for sac/td3 * Add monitor_wrapper for OnPolicyAlgorithm. Clean tb logging variables. Add parameter keywords to OffPolicyAlgorithm super init Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
2020-06-09 11:54:18 +00:00
# This file is here just to define MlpPolicy/CnnPolicy
# that work for A2C
Auto-formatting with black and isort (#97) * Add auto formatting with black and isort * Reformat code * Ignore typing errors * Add note about line length * Add minimum version for isort * Add commit-checks * Update docker image * Fixed lost import (during last merge) * Fix opencv dependency
2020-07-16 14:12:16 +00:00
from stable_baselines3.common.policies import ActorCriticCnnPolicy, ActorCriticPolicy, register_policy
Review of code (A2C, PPO and refactoring) (#35) * Split torch module code into torch_layers file * Updated reference to CNN * Change 'CxWxH' to 'CxHxW', as per common notion * Fix missing import in policies.py * Move PPOPolicy to OnlineActorCriticPolicy * Create OnPolicyRLModel from PPO, and make A2C and PPO inherit * Update A2C optimizer comment * Clean weight init scales for clarity * Fix A2C log_interval default parameter * Rename 'progress' to 'progress_remaining * Rename 'Models' to 'Algorithms' * Rename 'OnlineActorCriticPolicy' to 'ActorCriticPolicy' * Move static functions out from BaseAlgorithm * Move on/off_policy base algorithms to their own files * Add files for A2C/PPO * Fix docs * Fix pytype * Update documentation on OnPolicyAlgorithm * Add proper doctstring for on_policy rollout gathering * Add bit clarification on the mlppolicy/cnnpolicy naming * Move static function is_vectorized_policies to utils.py * Checking docstrings, pep8 fixes * Update changelog * Clean changelog * Remove policy warnings for sac/td3 * Add monitor_wrapper for OnPolicyAlgorithm. Clean tb logging variables. Add parameter keywords to OffPolicyAlgorithm super init Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
2020-06-09 11:54:18 +00:00
MlpPolicy = ActorCriticPolicy
CnnPolicy = ActorCriticCnnPolicy
register_policy("MlpPolicy", ActorCriticPolicy)
register_policy("CnnPolicy", ActorCriticCnnPolicy)
Reference in a new issue Copy permalink