Representation Learning with RL: SimCLR to PSM

Representation learning has been widely used and studied in CV&NLP. It is not surprising that people transfer the methods and ideas to reinforcement learning, especially for generalization and data-efficiency. SimCLR, as a widely used self-supervised learning (SSL) method, has achieved excellent performance in CV tasks. The very basic idea is to learn a representation. Under ideal circumstances, representations of pictures are high-level information abstract. SimCLR forces the representation network to learn invariants among pictures with a carefully designed structure....

August 30, 2022 · Dibbla

Representation Learning with RL: SimCLR to PSM

Representation learning has been widely used and studied in CV&NLP. It is not surprising that people transfer the methods and ideas to reinforcement learning, especially for generalization and data-efficiency. SimCLR, as a widely used self-supervised learning (SSL) method, has achieved excellent performance in CV tasks. The very basic idea is to learn a representation. Under ideal circumstances, representations of pictures are high-level information abstract. SimCLR forces the representation network to learn invariants among pictures with a carefully designed structure....

August 30, 2022 · Dibbla

Hanabi Paper List

Dibbla: This file/list contains several papers about Hanabi, but mostly focus on 2 ideas: MCTS method and learning a protocol. Theoretical Method Playing Hanabi Near-Optimally This paper, from a theory view, provides a hat-guessing strategy that reaches nearly full score in some settings. Check here. Survey The Hanabi challenge: A new frontier for AI research Check here The 2018 Hanabi Competition Check here MCTS Re-determinizing MCTS in Hanabi Check here...

July 16, 2022 · Dibbla

Hanabi Paper List

Dibbla: This file/list contains several papers about Hanabi, but mostly focus on 2 ideas: MCTS method and learning a protocol. Theoretical Method Playing Hanabi Near-Optimally This paper, from a theory view, provides a hat-guessing strategy that reaches nearly full score in some settings. Check here. Survey The Hanabi challenge: A new frontier for AI research Check here The 2018 Hanabi Competition Check here MCTS Re-determinizing MCTS in Hanabi Check here...

July 16, 2022 · Dibbla