OpenSpiel: A Framework for Reinforcement Learning in Games
DeepMind's open-source library of 70+ board, card, matrix, and partial-info games with a uniform API for RL, search, and game-theory research.
- Publisher
- Google DeepMind
- Year
- 2019
- Venue
- preprint
- Authors
- 27
- Hosting
- External sourcelicense unknown
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TL;DR
Semantic Scholar
This document serves both as an overview of the code base and an introduction to the terminology, core concepts, and algorithms across the fields of reinforcement learning, computational game theory, and search.
Artifacts
2Authors
27Bart De VylderBrennan SaetaDaniel HennesDavid DingDustin MorrillEdward HughesEdward LockhartFinbarr TimbersIvo DanihelkaJames BradburyJános KramárJean-Baptiste LespiauJonah Ryan-DavisJulian SchrittwieserJulien PerolatKarl TuylsMarc LanctotMatthew LaiPaul MullerRyan FaulknerSatyaki UpadhyaySebastian BorgeaudShayegan OmidshafieiSriram SrinivasanThomas AnthonyTimo EwaldsVinicius Zambaldi