Hannes Eriksson

12 papers A 3B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.
AAMAS
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2023 A conf
Minimax-Bayes Reinforcement Learning.
AISTATS
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2023 J jnl
Minimax-Bayes Reinforcement Learning.
CoRR
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2023 J jnl
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.
CoRR
Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
2022 J jnl
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty.
CoRR
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022 A conf
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning.
UAI
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2021 J jnl
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling.
CoRR
Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
2021 J jnl
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning.
CoRR
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2020 B conf
Epistemic Risk-Sensitive Reinforcement Learning.
ESANN
Hannes Eriksson, Christos Dimitrakakis
2020 — conf
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.
ICBINB@NeurIPS
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
2020 J jnl
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions.
CoRR
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
2019 J jnl
Epistemic Risk-Sensitive Reinforcement Learning.
CoRR
Hannes Eriksson, Christos Dimitrakakis
docs/redb_sample_queries.md
← Index docs/redb_sample_queries.md markdown 
# REDB Sample queries

KQL vs ES|QL
..


## KQL
All fields from a specific index:

## ES|QL

Stats on Compiler

`FROM redb-die | WHERE die_info.header.pe32.compiler.keyword IS NOT NULL | DISSECT die_info.header.pe32.compiler.keyword "%{compiler}(%{version})[%{language}]" | keep compiler, version, language`

Ref:
- https://www.elastic.co/guide/en/elasticsearch/reference/current/esql-kibana.html
- https://www.elastic.co/guide/en/elasticsearch/reference/current/esql-getting-started.html
- https://www.elastic.co/guide/en/kibana/current/try-esql.html
- https://www.elastic.co/guide/en/elasticsearch/reference/current/esql-language.html