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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)

Optimistic planning for Markov decision processes AISTATS 2012
Hierarchical Relative Entropy Policy Search AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
Autonomous Exploration For Navigating In MDPs COLT 2012
Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012
Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012
Dynamic Policy Programming JMLR 2012
Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012
Formalizing Assistive Teleoperation RSS 2012
Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012
What Types of Interactions do Bio-Inspired Robot Swarms and Flocks Afford a Human? RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011
Policy Gradient Coagent Networks NIPS 2011
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Multi-armed bandits on implicit metric spaces NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
On Strategy Stitching in Large Extensive Form Multiplayer Games NIPS 2011
Analysis and Improvement of Policy Gradient Estimation NIPS 2011
Learning to Agglomerate Superpixel Hierarchies NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011