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Found 3 papers, 1 papers with code
On the Complexity of Reconnaissance Blind Chess
This paper provides a complexity analysis for the game of reconnaissance blind chess (RBC), a recently-introduced variant of chess where each player does not know the positions of the opponent's pieces a priori but may reveal a subset of them through chosen, private sensing actions.
A Risk-Sensitive Approach to Policy Optimization
Without cost constraints, we find that pessimistic risk profiles can be used to reduce cost while improving total reward accumulation.
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)
Machine-learning paradigms such as imitation learning and reinforcement learning can generate highly performant agents in a variety of complex environments.
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