video-games
SNES Games
3260 papers • 126 benchmarks • 313 datasets
The task is to train an agent to play SNES games such as Super Mario. ( Image credit: Large-Scale Study of Curiosity-Driven Learning )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in video-games
Trend
Dataset
Best Model
Actions
F-Zero
F-Zero
Gradius III
Gradius III
Mortal Kombat
Mortal Kombat
Libraries
iUse these libraries to find video-games models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo, Vitaly Levdik, Petar Kormushev•Fri Oct 05 2018
This work proposes to use convolutional network architectures to generate Q-values and updates for a large number of goals at once and shows that replacing the random actions in ε-greedy exploration by several actions towards feasible goals generates better exploratory trajectories on Montezuma's Revenge and Super Mario All-Stars games.
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