DDPG | Panda Robot Arm | Deep Reinforcement Learning

DDPG (Deep Deterministic Policy Gradient) is a reinforcement learning technique for continuous action spaces that combines Deep Q Learning and Policy Gradients. DDPG is an Actor Critic based algorithm, where the Actor learns the optimal policy to determine the next action in a state and the Critic acts a Q-value network to score the actions generated by the Actor. In this video, we apply the DDPG algorithm to the Robot Reacher task using the Panda Robot Arm.

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Twitter:   / mahnasakshay  
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Links
Notebook Code: https://www.kaggle.com/code/sakshayma...
Deep Reinforcement Learning Playlist:    • Deep Reinforcement Learning  
Panda Gym Environment: https://panda-gym.readthedocs.io/en/l...
DDPG Blog: https://towardsdatascience.com/deep-d...
DDPG Paper: https://arxiv.org/abs/1509.02971