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To the Max: Reinventing Reward in Reinforcement Learning

To the Max: Reinventing Reward in Reinforcement Learning

2 February 2024
Grigorii Veviurko
Wendelin Bohmer
Mathijs de Weerdt
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Papers citing "To the Max: Reinventing Reward in Reinforcement Learning"

5 / 5 papers shown
Title
Deterministic Exploration via Stationary Bellman Error Maximization
Deterministic Exploration via Stationary Bellman Error Maximization
Sebastian Griesbach
Carlo DÉramo
23
0
0
31 Oct 2024
Estimating Reaction Barriers with Deep Reinforcement Learning
Estimating Reaction Barriers with Deep Reinforcement Learning
Adittya Pal
26
0
0
17 Jul 2024
Variable Time Step Reinforcement Learning for Robotic Applications
Variable Time Step Reinforcement Learning for Robotic Applications
Dong Wang
Giovanni Beltrame
22
0
0
29 Jun 2024
Tackling Decision Processes with Non-Cumulative Objectives using
  Reinforcement Learning
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Maximilian Nägele
Jan Olle
Thomas Fösel
Remmy Zen
Florian Marquardt
25
2
0
22 May 2024
Reachability Constrained Reinforcement Learning
Reachability Constrained Reinforcement Learning
Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
61
54
0
16 May 2022
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