Reading list for adversarial perspective and robustness in deep reinforcement learning.
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Updated
Jun 18, 2024
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Active visual tracking library based on PyTorch.
Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
[NeurIPS 2020 Spotlight] State-adversarial DDPG for robust deep reinforcement learning
Repository for code pertaining to the Adversarial-RL project at Computer Society IEEE NITK Student Branch
Study of Adversarial Multi-Agent Reinforcement Learning.
Blogsite for Adversarial Reinforcement Learning project under the Intelligence Research Group at Computer Society, IEEE NITK Student Branch
When GAIL Fails. Adversarial Reinforcement Learning
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