83 citations · 186 across the 17 of their papers we have counts for
3 papers · 1 filter
TD Convergence: An Optimization Perspective
Kavosh Asadi, Shoham Sabach, Yao Liu +2
We study the convergence behavior of the celebrated temporal-difference (TD) learning algorithm. By looking at the algorithm through the lens of optimization, we first argue that T…
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
Abhishek Sharma, Sonali Parbhoo, Omer Gottesman +1
Model-based reinforcement learning (MBRL) provides a way to learn a transition model of the environment, which can then be used to plan personalized policies for different patient…
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
Saket Tiwari, Omer Gottesman, George Konidaris
Advances in reinforcement learning have led to its successful application in complex tasks with continuous state and action spaces. Despite these advances in practice, most theoret…