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David M. Bossens — most-cited papers & profile · Reinforcement Learning
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David M. Bossens
6
papers ·
2
citations
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Most-cited papers
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
2021 · 1 citations
Explicit Explore, Exploit, or Escape ($E^4$): near-optimal safety-constrained reinforcement learning in polynomial time
2021 · 1 citations
Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes
2025
Beyond-expert Performance With Limited Demonstrations: Efficient Imitation Learning With Double Exploration
2025
Lifetime policy reuse and the importance of task capacity
2021
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
2023
Top co-authors
A.J. Sobey
· 1
Atsushi Nitanda
· 1
Danesh Tarapore
· 1
H. Vicky Zhao
· 1
Ivor W. Tsang
· 1
Nicholas Bishop
· 1
Quanquan Gu
· 1
Xingrui Yu
· 1
Topics
Policy Gradient
Safe RL
Exploration
Meta-RL
Model-Based RL
Game AI