Search Results for author: Simon Ramstedt

Found 2 papers, 2 papers with code

Reinforcement Learning with Random Delays

3 code implementations ICLR 2021 Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal, Jonathan Binas

Action and observation delays commonly occur in many Reinforcement Learning applications, such as remote control scenarios.

Anatomy Continuous Control +2

Real-Time Reinforcement Learning

3 code implementations NeurIPS 2019 Simon Ramstedt, Christopher Pal

Markov Decision Processes (MDPs), the mathematical framework underlying most algorithms in Reinforcement Learning (RL), are often used in a way that wrongfully assumes that the state of an agent's environment does not change during action selection.

Continuous Control reinforcement-learning +1

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