fastrlapi 0.0.1

reinforcement learning high-level API.

Reinforcement Learning API made simple - FAST_RLAPI

fastrlapi is a high level reinforcement learning api focusing on ease of use and simplicity. Written in Python and running on top of established reinforcement learning libraries like tf-Agents, tensorforce or keras-rl.

Examples

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from fastrlapi.agents import PpoAgent
from fastrlapi.callbacks import plot

ppoAgent = PpoAgent('CartPole-v0')
ppoAgent.train([plot.State(), plot.Loss(), plot.Rewards()])

More Detailed

from fastrlapi.agents import PpoAgent
from fastrlapi.callbacks import plot

ppoAgent = PpoAgent( 'Orso-v1',fc_layers=(500,500,500))
ppoAgent.train([plot.State(), plot.Loss(), plot.Rewards(), plot.Actions(), 
                plot.StepRewards(), plot.Steps(), plot.ToMovie()], 
                learning_rate = 0.0001, num_iterations = 500, max_steps_per_episode=50 )

Available Algorithms and Backends

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algorithm	tf-Agents	tensorforce	keras-rl (suspended)	fastrlapi class name
CEM	not available	not available	yes	CemAgent
Dqn	yes	yes	yes	DqnAgent
Double Dqn	open	not available	yes	DoubleDqnAgent
Dueling Dqn	not available	yes	yes	DuelingDqnAgent
Ppo	yes	yes	not available	PpoAgent
Random	yes	yes	not available	RandomAgent
REINFORCE	yes	yes	not available	ReinforceAgent
SAC	preview	not available	not available	SacAgent

Installation

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Install from pypi using pip:

pip install fastrlapi