9 citations · 11 across the 7 of their papers we have counts for
4 papers · 1 filter
Inverse Reinforcement Learning via Convex Optimization
Hao Zhu, Yuan Zhang, Joschka Boedecker
We consider the inverse reinforcement learning (IRL) problem, where an unknown reward function of some Markov decision process is estimated based on observed expert demonstrations.…
UDUC: An Uncertainty-driven Approach for Learning-based Robust Control
Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
Learning-based techniques have become popular in both model predictive control (MPC) and reinforcement learning (RL). Probabilistic ensemble (PE) models offer a promising approach…
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang, Jianhong Wang, Joschka Boedecker
Reinforcement learning (RL) is recognized as lacking generalization and robustness under environmental perturbations, which excessively restricts its application for real-world rob…
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang, Yuan Zhang, Yunjie Gu +1
Value factorisation is a useful technique for multi-agent reinforcement learning (MARL) in global reward game, however its underlying mechanism is not yet fully understood. This pa…