John Aslanides

According to our database1, John Aslanides authored at least 11 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Acme: A Research Framework for Distributed Reinforcement Learning.
CoRR, 2020

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.
CoRR, 2020

Behaviour Suite for Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

A General Approach to Fairness with Optimal Transport.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
TF-Replicator: Distributed Machine Learning for Researchers.
CoRR, 2019

When to use parametric models in reinforcement learning?
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Randomized Prior Functions for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Generalised Discount Functions applied to a Monte-Carlo AImu Implementation.
CoRR, 2017

AIXIjs: A Software Demo for General Reinforcement Learning.
CoRR, 2017

Universal Reinforcement Learning Algorithms: Survey and Experiments.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Generalised Discount Functions applied to a Monte-Carlo AI u Implementation.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017


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