Imitation learning, also known as learning by demonstration, is an approach being used in an esports project. There are two approaches to imitation learning: behavioral cloning captures and reproduces human skills by recording a specialist's demonstrations of a task, while inverse reinforcement learning develops a reward function from observed agent behavior to understand the goal. Imitation learning is being used over reinforcement learning for the esports project because specifying an accurate reward function is difficult, and the goal is for an agent to perform like a human.

1. NEERAJ BEDI
FOUNDER MADHAWK GAMES
Briefly about Imitation Learning
which we are using in Esports
project!

2. Imitation Learning Also known as
learning by Demonstration
In Imitation Learning
A specialist demonstrates how
to solve the task

3. Imitation Learning has two
approaches->

4. 1.Behavioural cloning is a method
by which human skills can be
captured and reproduced in a
computer program. As the
human subject performs the
skill, his or her actions are
recorded
The learning program outputs a
bunch of rules that reproduce
the skilled behaviour

5. 2.Inverse Reinforcement Learning
is the cycle of developing a
reward function from the
observed behaviour of the agent,
it sounds like Reinforcement
learning but this is a different
technique
accomplish

6. "Reinforcement learning"
consumes rewards and
punishments to learn behaviour
but in Inverse Reinforcement
Learning the direction is
inverted, for example, a robot
will perceive a person's
behaviour to figure out what
goal we are trying to accomplish

7. In Games, we are using Imitation
learning over reinforcement
learning when such a reward
function is difficult to specify
and also we are using Imitation
Learning, in esports we are using
imitation learning where we
want an agent to perform like
human