# Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents (RDE), submission to NeurIPS 2023



## Setup instructions
```
pip install -r requirements.txt
```

## Run an experiment 

To run the RDE+DQN on MiniGrid:
```
python3 train.py --env MiniGrid-GoToDoor-8x8-v0 --exploration_type epsilon --algorithm ddqn --trains 5 --seed_type 0 --reset_ver 0 --reset_multi 4 --reset_itv 100000 --train_interval 1 --reset_ww 20 --reset_rr 1 --frames 2000000
```


