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Mark Riedl — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mark Riedl
9
papers ·
50
citations ·
1
h-index
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Most-cited papers
Improving Deep Reinforcement Learning in Minecraft with Action Advice
2019 · 22 citations
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
2018 · 12 citations
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
2021 · 6 citations
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
2022 · 5 citations
Neuro-Symbolic World Models for Adapting to Open World Novelty
2023 · 3 citations
The Role of Exploration for Task Transfer in Reinforcement Learning
2022 · 1 citations
Story Shaping: Teaching Agents Human-like Behavior with Stories
2023 · 1 citations
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling
2024
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
2024
Top co-authors
Julia Kim
· 5
Jonathan Balloch
· 4
Xiangyu Peng
· 3
Zhiyu Lin
· 3
Aarun Srinivas
· 2
Mustafa Hussain
· 2
Robert Wright
· 2
Spencer Frazier
· 2
and Jessica L Inman
· 1
Brent Harrison
· 1
Christopher Cui
· 1
Jonathan C Balloch
· 1
Topics
Exploration
Meta-RL
Game AI
RLHF & Alignment
Safe RL
Model-Based RL
Value-Based
Multi-Agent