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Methods

9 directly classified papers

Subtopics

Deep RL (3861) Policy Learning (2068) Multi-Agent Systems (948) Offline RL (725) Value Iteration (79) Meta-Learning (25) Model-Based RL (12)

Papers per year

Papers

Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021
Faster Policy Learning with Continuous-Time Gradients L4DC 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020
Periodic Q-Learning L4DC 2020
Safe non-smooth black-box optimization with application to policy search L4DC 2020
Stable Reinforcement Learning with Unbounded State Space L4DC 2020
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Double Q-learning NIPS 2010