Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
Source files to replicate experiments in my ICLR 2022 paper.
File Explorer
- DroqIntro.jpg
- UpKUCode-BoREDQCode.jpg
- __init__.py
- ant.py
- humanoid.py
- utilsTH.py
- agent.py
- agent4profile.py
- main.py
- model.py
- play.py
- utils.py
- __init__.py
- ant.py
- humanoid.py
- __init__.py
- core.py
- redq_sac.py
- __init__.py
- bias_utils.py
- logx.py
- run_utils.py
- serialization_utils.py
- __init__.py
- user_config.py
- main.py
- .gitignore
- LICENSE
- README.md
- requirements.txt
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