davide97l/rl-policies-attacks-defenses
Adversarial attacks on Deep Reinforcement Learning (RL)
Jupyter NotebookMIT
Issues
- 0
puzzle about acts_mask
#28 opened by GongYanfu - 0
puzzle about adversarial attacks
#27 opened by GongYanfu - 1
A question on 'example.ipynb'
#26 opened by 2019211753 - 0
about tianshou
#25 opened by lixiaohaao - 4
about repo dependencies
#21 opened by GongYanfu - 5
- 5
about paper link
#23 opened by GongYanfu - 1
about gym env
#20 opened by GongYanfu - 5
Test DAM metric on Atari environments
#3 opened by davide97l - 0
about one pth file
#22 opened by GongYanfu - 0
- 1
A little mistake in utils.py
#18 opened by neucc1997 - 1
Implement some defense methods
#15 opened by davide97l - 0
attack Pong-PPO and test transferability
#14 opened by davide97l - 2
- 0
Train PPO for Atari Games
#13 opened by davide97l - 0
attack a2c agents in Pong environment
#12 opened by davide97l - 0
Train A2C agents to play Atari games
#11 opened by davide97l - 0
- 0
Adversarial attack policy
#9 opened by davide97l - 2
- 1
First chart milestone
#7 opened by davide97l - 0
- 0
Benchmark CartPole
#5 opened by davide97l - 0
- 0
Adapt adversarial collectors
#4 opened by davide97l