(zhuan) Deep Reinforcement Learning Papers

Deep Reinforcement Learning Papers

A list of recent papers regarding deep reinforcement learning. 
The papers are organized based on manually-defined bookmarks. 
They are sorted by time to see the recent papers first. 
Any suggestions and pull requests are welcome.

Bookmarks

All Papers

Value

Policy

Discrete Control

Continuous Control

Text Domain

Visual Domain

Robotics

Games

Monte-Carlo Tree Search

Inverse Reinforcement Learning

Multi-Task and Transfer Learning

Improving Exploration

Multi-Agent

Hierarchical Learning

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