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Robert Dadashi
13
papers ·
92
citations ·
12
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Geometric Perspective on Optimal Representations for Reinforcement Learning
2019 · 34 citations
Statistics and Samples in Distributional Reinforcement Learning
2019 · 24 citations
The Value Function Polytope in Reinforcement Learning
2019 · 12 citations
Show me the Way: Intrinsic Motivation from Demonstrations
2020 · 5 citations
Offline Reinforcement Learning with Pseudometric Learning
2021 · 5 citations
WARM: On the Benefits of Weight Averaged Reward Models
2024 · 3 citations
Continuous Control with Action Quantization from Demonstrations
2021 · 2 citations
Offline Reinforcement Learning with On-Policy Q-Function Regularization
2023 · 2 citations
WARP: On the Benefits of Weight Averaged Rewarded Policies
2024 · 1 citations
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
2020
Offline Reinforcement Learning as Anti-Exploration
2021
Top co-authors
L\'eonard Hussenot
· 6
Marc G. Bellemare
· 4
Matthieu Geist
· 4
Nino Vieillard
· 4
Olivier Bachem
· 3
Olivier Pietquin
· 3
Will Dabney
· 3
Alexandre Ram\'e
· 2
Dale Schuurmans
· 2
Johan Ferret
· 2
Nicolas Le Roux
· 2
Pablo Samuel Castro
· 2
Topics
Value-Based
Offline RL
Policy Gradient
Exploration
Model-Based RL
Game AI
Meta-RL
Safe RL
RLHF & Alignment
Robert Dadashi — most-cited papers & profile · Reinforcement Learning