7 citations · 7 across the 4 of their papers we have counts for
4 papers
Calibrated Value-Aware Model Learning with Probabilistic Environment Models
Claas Voelcker, Anastasiia Pedan, Arash Ahmadian +3
The idea of value-aware model learning, that models should produce accurate value estimates, has gained prominence in model-based reinforcement learning. The MuZero loss, which pen…
-models: Effective Decision-Aware Reinforcement Learning with Latent Models
Claas A Voelcker, Arash Ahmadian, Romina Abachi +2
The idea of decision-aware model learning, that models should be accurate where it matters for decision-making, has gained prominence in model-based reinforcement learning. While p…
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal +1
The shortcomings of maximum likelihood estimation in the context of model-based reinforcement learning have been highlighted by an increasing number of papers. When the model class…
Policy-Aware Model Learning for Policy Gradient Methods
Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand
This paper considers the problem of learning a model in model-based reinforcement learning (MBRL). We examine how the planning module of an MBRL algorithm uses the model, and propo…