Montezuma's Revenge
Montezuma's Revenge is an ATARI 2600 Benchmark game that is known to be difficult to perform on for reinforcement learning algorithms. Solutions typically employ algorithms that incentivise environment exploration in different ways.
For the state-of-the art tables, please consult the parent Atari Games task.
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Papers
Showing 61–61 of 61 papers
| Title | Status | Hype |
|---|---|---|
| Using Natural Language for Reward Shaping in Reinforcement Learning | Code | 0 |
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