eleurent/phd-bibliography
A comprehensive bibliography of research papers on reinforcement learning, optimal control, and motion planning.
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This is a curated academic bibliography organizing references across optimal control, reinforcement learning, and motion planning. It categorizes papers by subtopics including RL theory, value-based and policy-based methods, model-based RL, multi-agent systems, representation learning, and learning from demonstrations. The repository also covers related areas such as game theory, multi-armed bandits, robust control, and imitation learning.
Frequently asked
- What is eleurent/phd-bibliography?
- A comprehensive bibliography of research papers on reinforcement learning, optimal control, and motion planning.
- Is phd-bibliography open source?
- Yes — eleurent/phd-bibliography is an open-source project tracked on heatdrop.
- How popular is phd-bibliography?
- eleurent/phd-bibliography has 982 stars on GitHub.
- Where can I find phd-bibliography?
- eleurent/phd-bibliography is on GitHub at https://github.com/eleurent/phd-bibliography.