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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)

Speedy Q-Learning NIPS 2011
Reinforcement Learning using Kernel-Based Stochastic Factorization NIPS 2011
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011
Variance Reduction in Monte-Carlo Tree Search NIPS 2011
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Efficient Offline Communication Policies for Factored Multiagent POMDPs NIPS 2011
Monte Carlo Value Iteration with Macro-Actions NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Transfer from Multiple MDPs NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Continuous Rapid Action Value Estimates ACML 2011
Relative Entropy Inverse Reinforcement Learning AISTATS 2011
Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011
Generalized TD Learning JMLR 2011
Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011
Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning RSS 2011
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts RSS 2011
Double Q-learning NIPS 2010