| A Large Deviations Perspective on Policy Gradient Algorithms | Nov 13, 2023 | Policy Gradient Methodsreinforcement-learning | —Unverified | 0 |
| Clipped-Objective Policy Gradients for Pessimistic Policy Optimization | Nov 10, 2023 | Deep Reinforcement LearningMulti-Task Learning | CodeCode Available | 0 |
| On the Second-Order Convergence of Biased Policy Gradient Algorithms | Nov 5, 2023 | Policy Gradient Methods | —Unverified | 0 |
| Riemannian stochastic optimization methods avoid strict saddle points | Nov 4, 2023 | Dictionary LearningPolicy Gradient Methods | —Unverified | 0 |
| Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning | Nov 1, 2023 | Decision MakingPolicy Gradient Methods | —Unverified | 0 |
| Optimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback | Oct 29, 2023 | Policy Gradient Methods | —Unverified | 0 |
| Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning | Oct 18, 2023 | Policy Gradient Methodsreinforcement-learning | CodeCode Available | 0 |
| f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences | Oct 10, 2023 | Efficient ExplorationPolicy Gradient Methods | —Unverified | 0 |
| Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods | Oct 8, 2023 | Policy Gradient MethodsTraveling Salesman Problem | —Unverified | 0 |
| Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control | Oct 8, 2023 | Decision MakingPolicy Gradient Methods | —Unverified | 0 |
