Pages that link to "Item:Q2834459"
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The following pages link to Regularized policy iteration with nonparametric function spaces (Q2834459):
Displaying 15 items.
- Model selection in reinforcement learning (Q415618) (← links)
- Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path (Q1009248) (← links)
- On high-order differentiability of the policy function (Q1341453) (← links)
- Multi-agent reinforcement learning: a selective overview of theories and algorithms (Q2094040) (← links)
- Batch policy learning in average reward Markov decision processes (Q2112817) (← links)
- Policy mirror descent for reinforcement learning: linear convergence, new sampling complexity, and generalized problem classes (Q2687069) (← links)
- Analysis of classification-based policy iteration algorithms (Q2810787) (← links)
- A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications (Q2887630) (← links)
- Learning When-to-Treat Policies (Q5857115) (← links)
- Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health (Q5857153) (← links)
- A mathematical perspective of machine learning (Q6118171) (← links)
- A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets (Q6138596) (← links)
- Projected state-action balancing weights for offline reinforcement learning (Q6183753) (← links)
- Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization (Q6631700) (← links)
- Optimal policy evaluation using kernel-based temporal difference methods (Q6656605) (← links)
