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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Direct Loss Minimization Inverse Optimal Control RSS 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
A Deeper Look at Planning as Learning from Replay ICML 2015
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits ICML 2015
Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015
High Confidence Policy Improvement ICML 2015
Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Universal Option Models NIPS 2014
Time-Regularized Interrupting Options (TRIO) ICML 2014
Active Reward Learning RSS 2014
Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem ICML 2014
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014
True Online TD(lambda) ICML 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014