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← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
31
34
727
530
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Papers (including subtopics)

Learning from Limited Demonstrations NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
Q-learning for history-based reinforcement learning ACML 2013
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013
Average Reward Optimization Objective In Partially Observable Domains ICML 2013
Online Feature Selection for Model-based Reinforcement Learning ICML 2013
Learning an Internal Dynamics Model from Control Demonstration ICML 2013
Guided Policy Search ICML 2013
Safe Policy Iteration ICML 2013
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
Better Rates for Any Adversarial Deterministic MDP ICML 2013
ABC Reinforcement Learning ICML 2013
Concurrent Reinforcement Learning from Customer Interactions ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
Coco-Q: Learning in Stochastic Games with Side Payments ICML 2013
Performance Bounds for λ Policy Iteration and Application to the Game of Tetris JMLR 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013
Timely Object Recognition NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Regularized Off-Policy TD-Learning NIPS 2012