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Joshua Romoff — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Joshua Romoff
15
papers ·
320
citations ·
9
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Hybrid Reward Architecture for Reinforcement Learning
2017 · 188 citations
TarMAC: Targeted Multi-Agent Communication
2018 · 26 citations
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
2019 · 19 citations
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
2018 · 16 citations
Multi-Advisor Reinforcement Learning
2017 · 14 citations
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
2018 · 12 citations
Separation of Concerns in Reinforcement Learning
2016 · 7 citations
Separating value functions across time-scales
2019 · 4 citations
Direct Behavior Specification via Constrained Reinforcement Learning
2021 · 4 citations
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
2021 · 2 citations
Learning Computational Efficient Bots with Costly Features
2023 · 2 citations
CA2: Code-Aware Agent for Automated Game Testing
2026
Improving Intrinsic Exploration by Creating Stationary Objectives
2023
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play
2023
Top co-authors
Joelle Pineau
· 5
Harm van Seijen
· 3
Mehdi Fatemi
· 3
Peter Henderson
· 3
Romain Laroche
· 3
Michael Rabbat
· 2
Philippe Marcotte
· 2
Abhishek Das
· 1
Ahmed Touati
· 1
Alexandre Pich\'e
· 1
Anthony Kobanda
· 1
Christian Wolf
· 1
Topics
Game AI
Value-Based
Exploration
Model-Based RL
Multi-Agent
Policy Gradient
Meta-RL
Safe RL
Offline RL