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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Weighted importance sampling for off-policy learning with linear function approximation NIPS 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
Design Principles of the Hippocampal Cognitive Map NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Universal Option Models NIPS 2014
Information-based learning by agents in unbounded state spaces NIPS 2014
Resourceful Contextual Bandits COLT 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
True Online TD(lambda) ICML 2014
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem 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
Time-Regularized Interrupting Options (TRIO) ICML 2014
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 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
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NIPS 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
Online learning in episodic Markovian decision processes by relative entropy policy search NIPS 2013