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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
672
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Papers (including subtopics)

Learning to Act in Decentralized Partially Observable MDPs ICML 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018
Coordinated Exploration in Concurrent Reinforcement Learning ICML 2018
Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018
More Robust Doubly Robust Off-policy Evaluation ICML 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018
Fourier Policy Gradients ICML 2018
Automatic Goal Generation for Reinforcement Learning Agents ICML 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018
Addressing Function Approximation Error in Actor-Critic Methods ICML 2018
Clipped Action Policy Gradient ICML 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018
Visualizing and Understanding Atari Agents ICML 2018
Learning Policy Representations in Multiagent Systems ICML 2018
Learning to search with MCTSnets ICML 2018
Latent Space Policies for Hierarchical Reinforcement Learning ICML 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
Recurrent Predictive State Policy Networks ICML 2018
Fast Bellman Updates for Robust MDPs ICML 2018
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning ICML 2018
Deep Variational Reinforcement Learning for POMDPs ICML 2018