Search Results for author: Tyler Kastner

Found 3 papers, 2 papers with code

A Kernel Perspective on Behavioural Metrics for Markov Decision Processes

no code implementations5 Oct 2023 Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland

Behavioural metrics have been shown to be an effective mechanism for constructing representations in reinforcement learning.

reinforcement-learning

MICo: Improved representations via sampling-based state similarity for Markov decision processes

2 code implementations NeurIPS 2021 Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland

We present a new behavioural distance over the state space of a Markov decision process, and demonstrate the use of this distance as an effective means of shaping the learnt representations of deep reinforcement learning agents.

Atari Games reinforcement-learning +1

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