MS&E 338

Paper presentation sign up 2015

Choice 4

Sarah Filippi, Olivier Cappe, and Aurelien Garivier, Optimism in Reinforcement Learning and Kullback-Leibler Divergence

Lihong Li and Michael Littman, Reducing Reinforcement Learning to KWIK Online Regression

Yasin Abbasi-Yadkori and Csaba Szepesvari, Regret Bounds for the Adaptive Control of Linear Quadratic Systems

Vlodymyr Mnih, Koray Kavukcuogly, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller, Playing Atari with Deep Reinforcement Learning

Peter Dayan and Kent Berridge, Model-Based and Model-Free Pavlovian Reward Learning

Richard Sutton, David McAllester, Satinder Singh, and Yishay Mansour, Policy Gradient Methods for Reinforcement Learning with Function Approximation ; and Vijay Konda and Jon Tsitsiklis, Actor Critic Algorithms

Aditya Gopalan and Shie Mannor, Thompson Sampling for Learning Parameterized MDPs

Jason Pazis and Ronald Parr, PAC Optimal Exploration in Continuous Space Markov Decision Processes

John Asmuth, Lihong Li, Michael Littman, Ali Nouri, and David Wingate, A Bayesian Sampling Approach to Exploration in Reinforcement Learning

Zico Kolter and Andrew Ng, Near-Bayesian Exploration in Polynomial Time

Odalric-Ambrym Maillard, Timothy Mann “How hard is my MDP?” The distribution-norm to the rescue

Hamid Redza Maei et al. Toward Off-Policy Learning Control with Function Approximation

Peter Bartlett and Ambuj Tewari, REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs