Search Results for author: Malte Schwarzkopf

Found 4 papers, 1 papers with code

Online Reinforcement Learning in Non-Stationary Context-Driven Environments

no code implementations4 Feb 2023 Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh

We present Locally Constrained Policy Optimization (LCPO), an online RL approach that combats CF by anchoring policy outputs on old experiences while optimizing the return on current experiences.

reinforcement-learning Reinforcement Learning (RL)

Demystifying Reinforcement Learning in Time-Varying Systems

no code implementations14 Jan 2022 Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh

Such agents must explore and learn new environments, without hurting the system's performance, and remember them over time.

reinforcement-learning Reinforcement Learning (RL)

Variance Reduction for Reinforcement Learning in Input-Driven Environments

no code implementations ICLR 2019 Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh

We consider reinforcement learning in input-driven environments, where an exogenous, stochastic input process affects the dynamics of the system.

Meta-Learning Object Tracking +3

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