SA_DQN
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chenhongge
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
I'm trying to evaluate the pre-trained RoadRunner model. The return I got from running `python test.py --config config/RoadRunner_cov.json test_config:load_model_path=models/RoadRunner-convex.model` is around one thousand (as shown in the figure below), which...
Dear authors: Thanks for sharing this code! This is a great work! However, when I try to train the robust agents with PGD solver, I cannot get the same level...
The paper mentions ‘We implement Double DQN [72] and Prioritized Experience Replay [58] on four Atari games’, but the actual code implementation does not implement Double DQN, but rather Dueling...
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[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning