R. Srikant

8

Papers

3

Total Citations

Papers (8)

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

Reinforcement Learning with Segment Feedback

Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits

Adding One Neuron Can Eliminate All Bad Local Minima

Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning

The Mean-Squared Error of Double Q-Learning

Minimax Regret for Cascading Bandits

Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms