This branch is the code for the paper
Breaking the Deadly Triad with a Target Network
Shangtong Zhang, Hengshuai Yao, Shimon Whiteson (ICML 2021)
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├── Dockerfile # Dependencies
├── requirements.txt # Dependencies
├── template_jobs.py # Entrance for the experiments
| ├── baird # Entrance of Baird's counterexample experiments
├── deep_rl/agent/TargetNet_agent.py # Q-learning with target network
└── template_plot.py # Plotting
I can send the data for plotting via email upon request.
This branch is based on the DeepRL codebase and is left unchanged after I completed the paper. Algorithm implementations not used in the paper may be broken and should never be used. It may take extra effort if you want to rebase/merge the master branch.