# Epistemic Uncertainty Directed Bayesian Reinforcement Learning

### How to Run (example for Loop)
```bash
python main.py --agent-name="EUBRL" --env-name="Loop" --no-use-jax --use-normal-gamma-prior --model-update-interval=1 --use-eubrl-reward --seed=0 --num-environment-steps=1000 --eu-scale=0.5 --dirichlet-param=1e-8 --discount-factor=0.95 --eu-type="One-hot" --chain-size=4 --loop-length=5 --beta=1e-4 --instant-reward --num-loops=4
```