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MDP homomorphic networks: Group symmetries in reinforcement learning

• Authors : Van Der Pol, E.; Worrall, D.; Van Hoof, H. ...

• Source: Van Der Pol , E , Worrall , D , Van Hoof , H , Oliehoek , F & Welling , M 2021 , MDP homomorphic networks: Group symmetries in reinforcement learning . in H Larochelle ,

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Symmetry and structure in deep reinforcement learning

• Authors : van der Pol, E.

• Source: van der Pol , E 2023 , ' Symmetry and structure in deep reinforcement learning ' , Doctor of Philosophy , Universiteit van Amsterdam .

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Generalization strategies in reinforcement learning

• Authors : Snel, M.

• Source: Snel , M 2018 , ' Generalization strategies in reinforcement learning ' , Doctor of Philosophy , Universiteit van Amsterdam .

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Factored Adaptation for Non-Stationary Reinforcement Learning

• Authors : Feng, F.; Huang, B.; Magliacane, S. ...

• Source: Feng , F , Huang , B , Magliacane , S & Zhang , K 2023 , Factored Adaptation for Non-Stationary Reinforcement Learning . in S Koyejo , S Mohamed , A Agarwal , D Belgrave , K Cho & A Oh (eds) , 36th

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Dec-POMDPs as Non-Observable MDPs

• Authors : Oliehoek, F.A.; Amato, C.

• Source: Oliehoek , F A & Amato , C 2014 , Dec-POMDPs as Non-Observable MDPs . IAS technical reports , no. IAS-UVA-14-01 , Amsterdam .

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Solving Multi-agent MDPs Optimally with Conditional Return Graphs

• Authors : Scharpff, J.; Roijers, D.M.; Oliehoek, F.A.

• Source: Scharpff , J , Roijers , D M , Oliehoek , F A , Spaan , M T J & de Weerdt , M M 2015 , Solving Multi-agent MDPs Optimally with Conditional Return Graphs . in AAMAS Workshop on Multiagent Sequential

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Dec-POMDPs as Non-Observable MDPs

• Authors : F.A. Oliehoek; C. Amato

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