irlc.ex01.agent.Agent

class irlc.ex01.agent.Agent(env)

Main agent class. See (Her21, Subsection 4.4.3) for additional details.

Example

>>> print("Hello World")
"Hello world"

\begin{eqnarray} y & = & ax^2 + bx + c \\ f(x) & = & x^2 + 2xy + y^2 \end{eqnarray}

__init__(env)

Instantiate the Agent class.

Parameters

env (Env) – An openai gym Environment instance.

Methods

__init__(env)	Instantiate the Agent class.
extra_stats()	Optional: Can be used to record extra information from the Agent while training.
hello(greeting)	The canonical hello world example.
pi(s[, k])	Evaluate the Agent's policy at time step k in state s
train(s, a, r, sp[, done])	Called at each step of the simulation after a = pi(s,k) and environment transition to sp.