andrewliao11/Deep-Reinforcement-Learning-Survey
A personal survey of deep reinforcement learning papers with summaries and code references.
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This repository is a curated collection of deep reinforcement learning papers organized with author summaries and explanations. It covers foundational deep RL work including DQN, AlphaGo, successor representations, and policy distillation, with links to implementations where available. The repository serves as a learning resource for researchers exploring deep RL concepts in gaming and robotics domains.
Frequently asked
- What is andrewliao11/Deep-Reinforcement-Learning-Survey?
- A personal survey of deep reinforcement learning papers with summaries and code references.
- Is Deep-Reinforcement-Learning-Survey open source?
- Yes — andrewliao11/Deep-Reinforcement-Learning-Survey is an open-source project tracked on heatdrop.
- How popular is Deep-Reinforcement-Learning-Survey?
- andrewliao11/Deep-Reinforcement-Learning-Survey has 432 stars on GitHub.
- Where can I find Deep-Reinforcement-Learning-Survey?
- andrewliao11/Deep-Reinforcement-Learning-Survey is on GitHub at https://github.com/andrewliao11/Deep-Reinforcement-Learning-Survey.