Towards truly open-ended reinforcement learning
<p>Deep reinforcement learning (RL) has achieved some remarkable successes in the past decade, from super human performance in games to real world problems such as robotics and even Nuclear Fusion. Indeed, given its generality, many prominent researchers in the field believe RL alone may be su...
Main Author: | Parker-Holder, J |
---|---|
Other Authors: | Roberts, S |
Format: | Thesis |
Language: | English |
Published: |
2022
|
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