目录
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Algorithms
Note: All the base code is from "Hands on Reinfocement Learning".
- Off-Policy
- VanillaDQN
- DoubleDQN
- DuelingDQN
- DDPG
- SACContinuous
- On-Policy
- VPG(REINFORCE)
- ActorCritic
- TRPO
- PPO
- PPOContinuous
Registry
It allows for
- using decrator to register a new class, and the self.xxx can be overwritten by config.yaml
- building an intance by Registry().build({"type":"className"}), the dict is the key-value pair for the init() of the given class. "type" is fixed for the className’s key.
- since we set all the default values in the class’s init(), so Registry().build({"type":"className"}) can write the least number of parameter.
- if you want to convey param by {"type":"className", "param1":"value1"} this way, remember to comment the coresponding items in the config.yaml, since the value can be overwritten by this file.
Config.yaml
Every class can set param in this file, the file’s priority is the highest.
Wandb
The log system.
Runner
All the supported algorithm has been registried in this file.
Main
The Gallery’s enter point.
