Matches in SemOpenAlex for { <https://semopenalex.org/work/W3108220207> ?p ?o ?g. }
- W3108220207 abstract "The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent will choose the most suitable strategy and formation for each adversary's strategy. Therefore, the role of a coach is of great importance to the game. In this sense, this paper proposes an end-to-end approach for the coaching task based on Reinforcement Learning (RL). The proposed system processes the information during the simulated matches to learn an optimal policy that chooses the current formation, depending on the opponent and game conditions. We trained two RL policies against three different teams (balanced, offensive, and heavily offensive) in a simulated environment. Our results were assessed against one of the top teams of the VSSS league, showing promising results after achieving a win/loss ratio of approximately 2.0." @default.
- W3108220207 created "2020-12-07" @default.
- W3108220207 creator A5021580957 @default.
- W3108220207 creator A5022457755 @default.
- W3108220207 creator A5047735407 @default.
- W3108220207 creator A5059245199 @default.
- W3108220207 creator A5063718789 @default.
- W3108220207 creator A5064136920 @default.
- W3108220207 creator A5065719251 @default.
- W3108220207 creator A5076217818 @default.
- W3108220207 creator A5068799873 @default.
- W3108220207 date "2020-11-23" @default.
- W3108220207 modified "2023-09-27" @default.
- W3108220207 title "An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer" @default.
- W3108220207 cites W1555405574 @default.
- W3108220207 cites W1757796397 @default.
- W3108220207 cites W1969483458 @default.
- W3108220207 cites W2121863487 @default.
- W3108220207 cites W2145339207 @default.
- W3108220207 cites W2170796542 @default.
- W3108220207 cites W2173248099 @default.
- W3108220207 cites W2553701371 @default.
- W3108220207 cites W2749807327 @default.
- W3108220207 cites W2783134749 @default.
- W3108220207 cites W2789901741 @default.
- W3108220207 cites W2952523895 @default.
- W3108220207 cites W2964043796 @default.
- W3108220207 cites W3011120880 @default.
- W3108220207 cites W3081720148 @default.
- W3108220207 hasPublicationYear "2020" @default.
- W3108220207 type Work @default.
- W3108220207 sameAs 3108220207 @default.
- W3108220207 citedByCount "0" @default.
- W3108220207 crossrefType "posted-content" @default.
- W3108220207 hasAuthorship W3108220207A5021580957 @default.
- W3108220207 hasAuthorship W3108220207A5022457755 @default.
- W3108220207 hasAuthorship W3108220207A5047735407 @default.
- W3108220207 hasAuthorship W3108220207A5059245199 @default.
- W3108220207 hasAuthorship W3108220207A5063718789 @default.
- W3108220207 hasAuthorship W3108220207A5064136920 @default.
- W3108220207 hasAuthorship W3108220207A5065719251 @default.
- W3108220207 hasAuthorship W3108220207A5068799873 @default.
- W3108220207 hasAuthorship W3108220207A5076217818 @default.
- W3108220207 hasConcept C121332964 @default.
- W3108220207 hasConcept C127413603 @default.
- W3108220207 hasConcept C1276947 @default.
- W3108220207 hasConcept C154945302 @default.
- W3108220207 hasConcept C15744967 @default.
- W3108220207 hasConcept C176856949 @default.
- W3108220207 hasConcept C18903297 @default.
- W3108220207 hasConcept C201995342 @default.
- W3108220207 hasConcept C207456731 @default.
- W3108220207 hasConcept C2779363792 @default.
- W3108220207 hasConcept C2780451532 @default.
- W3108220207 hasConcept C38652104 @default.
- W3108220207 hasConcept C41008148 @default.
- W3108220207 hasConcept C41065033 @default.
- W3108220207 hasConcept C42475967 @default.
- W3108220207 hasConcept C542102704 @default.
- W3108220207 hasConcept C67203356 @default.
- W3108220207 hasConcept C77805123 @default.
- W3108220207 hasConcept C86803240 @default.
- W3108220207 hasConcept C90509273 @default.
- W3108220207 hasConcept C91306197 @default.
- W3108220207 hasConcept C97541855 @default.
- W3108220207 hasConceptScore W3108220207C121332964 @default.
- W3108220207 hasConceptScore W3108220207C127413603 @default.
- W3108220207 hasConceptScore W3108220207C1276947 @default.
- W3108220207 hasConceptScore W3108220207C154945302 @default.
- W3108220207 hasConceptScore W3108220207C15744967 @default.
- W3108220207 hasConceptScore W3108220207C176856949 @default.
- W3108220207 hasConceptScore W3108220207C18903297 @default.
- W3108220207 hasConceptScore W3108220207C201995342 @default.
- W3108220207 hasConceptScore W3108220207C207456731 @default.
- W3108220207 hasConceptScore W3108220207C2779363792 @default.
- W3108220207 hasConceptScore W3108220207C2780451532 @default.
- W3108220207 hasConceptScore W3108220207C38652104 @default.
- W3108220207 hasConceptScore W3108220207C41008148 @default.
- W3108220207 hasConceptScore W3108220207C41065033 @default.
- W3108220207 hasConceptScore W3108220207C42475967 @default.
- W3108220207 hasConceptScore W3108220207C542102704 @default.
- W3108220207 hasConceptScore W3108220207C67203356 @default.
- W3108220207 hasConceptScore W3108220207C77805123 @default.
- W3108220207 hasConceptScore W3108220207C86803240 @default.
- W3108220207 hasConceptScore W3108220207C90509273 @default.
- W3108220207 hasConceptScore W3108220207C91306197 @default.
- W3108220207 hasConceptScore W3108220207C97541855 @default.
- W3108220207 hasLocation W31082202071 @default.
- W3108220207 hasOpenAccess W3108220207 @default.
- W3108220207 hasPrimaryLocation W31082202071 @default.
- W3108220207 hasRelatedWork W1504986611 @default.
- W3108220207 hasRelatedWork W1539458627 @default.
- W3108220207 hasRelatedWork W1561680072 @default.
- W3108220207 hasRelatedWork W1584417681 @default.
- W3108220207 hasRelatedWork W1783774027 @default.
- W3108220207 hasRelatedWork W195413585 @default.
- W3108220207 hasRelatedWork W1995776349 @default.
- W3108220207 hasRelatedWork W2006719510 @default.
- W3108220207 hasRelatedWork W2045383215 @default.
- W3108220207 hasRelatedWork W2049110772 @default.