Project structure of: lucidrains/q-transformer

• q-transformer Robotic action prediction, reinforcement learning, Python package setup.
  • q_transformer Q-Transformer: Robotic action prediction using RL
    • __init__.py Transformer-based RL architecture import.
    • agent.py Trains Q-Transformer agent in RL tasks, handles memories and epsilons.
    • attend.py Attention-based neural network class with dropout, flash attention
    • mocks.py Mock environments and datasets for Q-transformer models in reinforcement learning.
    • optimizer.py Separates parameters, gets Adam or AdamW optimizer.
    • q_learner.py Robotic Transformer Q-Learner for Reinforcement Learning
    • q_robotic_transformer.py Q-Transformer for robotic action prediction
  • README.md Install Q-Transformer model for scalable offline RL with diverse action decoding.
  • setup.py Setup file for Python package "q-transformer" with details and deps.