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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018
Scalable Initial State Interdiction for Factored MDPs IJCAI 2018
Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018
Autonomously Reusing Knowledge in Multiagent Reinforcement Learning IJCAI 2018
Interactive Learning and Decision Making: Foundations, Insights & Challenges IJCAI 2018
Improving Reinforcement Learning with Human Input IJCAI 2018
Towards Sample Efficient Reinforcement Learning IJCAI 2018
Coordinated Exploration in Concurrent Reinforcement Learning ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
Time Limits in Reinforcement Learning ICML 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Structured Control Nets for Deep Reinforcement Learning ICML 2018
Learning Safe Policies with Expert Guidance NIPS 2018
Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018
Geometrically Coupled Monte Carlo Sampling NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NIPS 2018
Is Q-Learning Provably Efficient? NIPS 2018
Exploration in Structured Reinforcement Learning NIPS 2018
Deep Generative Models with Learnable Knowledge Constraints NIPS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018