Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems

1 code implementation • 11 Nov 2023 • Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, Stas Tiomkin

That is achieved by augmenting the model estimation objective with a controllability constraint, which penalizes models with a low degree of controllability.

Bounding the Optimal Value Function in Compositional Reinforcement Learning

1 code implementation • 5 Mar 2023 • Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

In order to quickly obtain solutions to unseen problems with new reward functions, a popular approach involves functional composition of previously solved tasks.

reinforcement-learning Reinforcement Learning (RL)