conftrace_
← 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
'05
'10
'15
'20
'25

Papers (including subtopics)

Sample Complexity of Policy Search with Known Dynamics NIPS 2006
Boosting Structured Prediction for Imitation Learning NIPS 2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006
Policy Gradient in Continuous Time JMLR 2006
Evolutionary Function Approximation for Reinforcement Learning JMLR 2006
Collaborative Multiagent Reinforcement Learning by Payoff Propagation JMLR 2006
Learning Operational Space Control RSS 2006
A Generalization Error for Q-Learning JMLR 2005
Auction-Based Multi-Robot Routing RSS 2005
A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning JMLR 2004
Least-Squares Policy Iteration JMLR 2003
On the Convergence of Optimistic Policy Iteration JMLR 2002
ε-MDPs: Learning in Varying Environments JMLR 2002
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning JMLR 2002
Using Confidence Bounds for Exploitation-Exploration Trade-offs JMLR 2002
Lyapunov Design for Safe Reinforcement Learning JMLR 2002
Policy Search using Paired Comparisons JMLR 2002