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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
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Papers (including subtopics)

Reinforcement learning with value advice ACML 2014
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014
Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
Tracking Adversarial Targets ICML 2014
Deterministic Policy Gradient Algorithms ICML 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014
True Online TD(lambda) ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
Model-Based Relational RL When Object Existence is Partially Observable ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014
A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Time-Regularized Interrupting Options (TRIO) ICML 2014
Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014
Active Learning of Parameterized Skills ICML 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014
Off-policy Learning With Eligibility Traces: A Survey JMLR 2014
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers JMLR 2014