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Alistair Muldal

7 papers hereh-index 123k citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.LG3
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedDeepMind Control Suite

521 citations · 773 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2020★ 6 cited

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt +9

Recent work in deep reinforcement learning (RL) has produced algorithms capable of mastering challenging games such as Go, chess, or shogi. In these works the RL agent directly obs…

cs.AI2018

Learning Awareness Models

Brandon Amos, Laurent Dinh, Serkan Cabi +7

We consider the setting of an agent with a fixed body interacting with an unknown and uncertain external world. We show that models trained to predict proprioceptive information ab…

cs.AI2018★ 521 cited

DeepMind Control Suite

Yuval Tassa, Yotam Doron, Alistair Muldal +9

The DeepMind Control Suite is a set of continuous control tasks with a standardised structure and interpretable rewards, intended to serve as performance benchmarks for reinforceme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.