Table Tennis Agent

Using reinforcment learning to create an intelligent TT agent

Hero Imgs Meet the Team
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Aratrika Basu

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Shruthi Ramesh

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Justin Fu

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Manikanta Chunduru Balaji

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Sownmya Voona

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Jayantraj Coimbatore

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Yue Wu

Engineering Design Document

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PPO

Proximal Policy Optimization(PPO) is an on-policy based reinforcement learning algorithm.

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SAC

Soft Actor Critic(SAC) is an off-policy model-free reinforcement learning algorithm.

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DQN

DQN is an off-policy, value-based, model-free RL algorithm.

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Algorithms

The Algorithms used to Train the Agent

Technical Paper

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PPO

Proximal Policy Optimization(PPO) is an on-policy based reinforcement learning algorithm.

read more
img

SAC

Soft Actor Critic(SAC) is an off-policy model-free reinforcement learning algorithm.

read more
img

DQN

DQN is an off-policy, value-based, model-free RL algorithm.

read more