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This project is for learning and researching on Deep RL. Maintained by University AI researchers.
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README.md

Awesome Deep Reinforcement Learning

updated Landscape of DRL

updated Landscape of DRL

Landscape of DRL

Landscape of DRL/GAN This project is built for people who are learning and researching on latest deep reinforcement learning methods.

Illustrations:

Recommendations and suggestions are welcome.

General guidances

General Benchmark Testing Frameworks

Value based methods

Policy gradient methods

Explorations in DRL

Actor-Critic methods

Model-based methods

Model-free + Model-based

Option

Connection with other methods

Connecting value and policy methods

Reward design

Unifying

Faster DRL

Apply RL to other domains

Multiagent Settings

New design

Multitask

Observational Learning

Meta Learning

Distributional

Planning

Safety

Inverse RL

No reward RL

Time

Applications

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