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GitHub topics: fixed-q-targets

Ohara124c41/DRLND-Navigation

Value-based methods. Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.

Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

sid230798/Doom_Reinforcement_Learning

Used Vizdoom API to train AI-Bot using DQN, DRQN and add a lot of improvements fixed-Q, Dueling, Prioritzing to maximize K/D of Bot.

Language: Python - Size: 170 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Puneet2000/Agent-DOoM

A RL agent that learns to play doom's deadly corridor based on DDQN and PER.

Language: Python - Size: 15.6 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
fixed-q-targets 3 experience-replay 2 prioritized-experience-replay 2 reinforcement-learning 2 q-learning 1 pytorch-implmention 1 off-policy 1 dueling-network-architecture 1 deep-q-learning 1 vizdoom 1 tensorflow 1 dueling-dqn 1 dqn-tensorflow 1 artificial-intelligence 1 actor-critic 1 pytorch 1 dqn 1 double-dqn 1