Springer Verlag Berlin Heidelberg, 2019. Reinforcement learning (RL) techniques are a set of solutions for optimal long-term action choice such that actions take into account both immediate and delayed consequences. They fall into two broad classes: model-based and model-free approaches. Model-...
Helena Flack (Quantstamp - ETHBerlin- DoD) Harry Denley Holger Drewes (EthereumJS) Hudson Jameson (Ethereum Foundation) Igor Mandrigin (Status) Jacek Sieka (Status) Jack Gane (Authio) James Beck (ConsenSys) James Hancock (a Nobody in Berlin) James Moreau (@jrmoreau) James Quinn (Independ...