DQN Optimization for Atari Breakout
Budget: £20 – £250 GBP
I'm seeking an expert to help diagnose and fix slow convergence issues in my DQN training on the Atari game Breakout.
Requirements:
- Expertise in Q-learning and DQN
- Proficiency in TensorFlow, Keras, Gymnasium
- Familiarity with CUDA and cuDNN
- Ability to analyze and optimize training parameters
Ideal Skills:
- Strong background in reinforcement learning
- Experience with Atari game environments
- Problem-solving skills to identify training bottlenecks
Your goal will be to determine the root cause of slow convergence and suggest effective solutions to improve training performance. Please provide a detailed plan with your bid.
Requirements:
- Expertise in Q-learning and DQN
- Proficiency in TensorFlow, Keras, Gymnasium
- Familiarity with CUDA and cuDNN
- Ability to analyze and optimize training parameters
Ideal Skills:
- Strong background in reinforcement learning
- Experience with Atari game environments
- Problem-solving skills to identify training bottlenecks
Your goal will be to determine the root cause of slow convergence and suggest effective solutions to improve training performance. Please provide a detailed plan with your bid.