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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)

Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Distributionally Robust Markov Decision Processes NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
A POMDP Extension with Belief-dependent Rewards NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
LSTD with Random Projections NIPS 2010
Feature Construction for Inverse Reinforcement Learning NIPS 2010
Learning from Logged Implicit Exploration Data NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010
Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010
Variational methods for Reinforcement Learning AISTATS 2010
Efficient Reductions for Imitation Learning AISTATS 2010