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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Predictive State Temporal Difference Learning NIPS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Double Q-learning NIPS 2010
Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Distributionally Robust Markov Decision Processes NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Monte Carlo Sampling for Regret Minimization in Extensive Games NIPS 2009
Code-specific policy gradient rules for spiking neurons NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments JMLR 2009
Improving Existing Fault Recovery Policies NIPS 2009
Solving Stochastic Games NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009