Reinforcement Learning
3,118 papers
Papers per year
1
11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
339
336
495
464
83
'10
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Papers
Direct Loss Minimization Inverse Optimal Control
RSS 2015
High Confidence Policy Improvement
ICML 2015
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
ICML 2015
Interactive Control of Diverse Complex Characters with Neural Networks
NeurIPS 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
ICML 2015
Non-Stationary Approximate Modified Policy Iteration
ICML 2015
Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds
RSS 2015
Policy Evaluation Using the Ω-Return
NeurIPS 2015
Policy Gradient for Coherent Risk Measures
NeurIPS 2015
Policy Search for Multi-Robot Coordination under Uncertainty
RSS 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
ACML 2015
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach
RSS 2015
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
NeurIPS 2015
Sequential Information Maximization: When is Greedy Near-optimal?
COLT 2015
Active Reward Learning
RSS 2014
Algorithms for CVaR Optimization in MDPs
NeurIPS 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence
ICML 2014
Approximate Policy Iteration Schemes: A Comparison
ICML 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation
NeurIPS 2014
Design Principles of the Hippocampal Cognitive Map
NeurIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning
NeurIPS 2014
How hard is my MDP?" The distribution-norm to the rescue"
NeurIPS 2014
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
ICML 2014
Information-based learning by agents in unbounded state spaces
NeurIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs
NeurIPS 2014