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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015
Grounding English Commands to Reward Functions RSS 2015
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015
Shared Autonomy via Hindsight Optimization RSS 2015
Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction RSS 2015
Dealing with Difficult Instances of Object Rearrangement RSS 2015
Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds RSS 2015
Optimal Robust Control for Bipedal Robots through Control Lyapunov Function based Quadratic Programs RSS 2015
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
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
Recurrent Models of Visual Attention 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
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NIPS 2014
Sparse Multi-Task Reinforcement Learning NIPS 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model NIPS 2014
Quasi Newton Temporal Difference Learning ACML 2014