Diego Perez Liebana

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #15,861 of 35,345 by trust here, #5,390 by citations
• Reinforcement Learning — 46 citations into it
• Economics and Econometrics — 15 citations into it; #21,039 of 23,481 by trust here, #2,748 by citations
• Game & Decision Theory — 8 citations into it

Whom Diego Perez Liebana trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cameron Browne
2. Tom Schaul

Who trusts Diego Perez Liebana overall

1. James Goodman
2. Rodrigo Canaan

Papers from Diego Perez Liebana's perspective

Ordered by how strongly the researchers Diego Perez Liebana trusts endorse each paper. Same corpus, a different order for every researcher.

1. Asynchronous Methods for Deep Reinforcement Learning
2. Human-level control through deep reinforcement learning
3. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
4. Asymptotically efficient adaptive allocation rules
5. Asymptotically Efficient Adaptive Allocation Rules
6. Prioritized Experience Replay
7. Dueling Network Architectures for Deep Reinforcement Learning
8. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
9. Gambling in a rigged casino: The adversarial multi-armed bandit problem
10. Rainbow: Combining Improvements in Deep Reinforcement Learning

Their papers

• A Survey of Monte Carlo Tree Search Methods (2012) — 3,443 citations
• The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors (2021) — 73 citations
• Evaluating and modelling Hanabi-playing agents (2017) — 50 citations
• The 2009 Simulated Car Racing Championship (2010) — 103 citations
• The 2014 General Video Game Playing Competition (2016) — 209 citations