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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
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Papers (including subtopics)

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019
Per-Decision Option Discounting ICML 2019
Provably Efficient Maximum Entropy Exploration ICML 2019
Composing Entropic Policies using Divergence Correction ICML 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning ICML 2019
Learning from a Learner ICML 2019
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning ICML 2019
A Deep Reinforcement Learning Perspective on Internet Congestion Control ICML 2019
Neural Logic Reinforcement Learning ICML 2019
Discovering Options for Exploration by Minimizing Cover Time ICML 2019
Policy Consolidation for Continual Reinforcement Learning ICML 2019
Collaborative Evolutionary Reinforcement Learning ICML 2019
EMI: Exploration with Mutual Information ICML 2019
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty ICML 2019
Safe Policy Improvement with Baseline Bootstrapping ICML 2019
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019
Batch Policy Learning under Constraints ICML 2019
Target-Based Temporal-Difference Learning ICML 2019
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
Guided evolutionary strategies: augmenting random search with surrogate gradients ICML 2019
Calibrated Model-Based Deep Reinforcement Learning ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019