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Reinforcement Learning

2,944 papers

Papers per year

22
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284
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Papers

Robust Locally-Linear Controllable Embedding AISTATS 2018
Deep Reinforcement Learning of Marked Temporal Point Processes NIPS 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning CORL 2018
Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018
Learning under Misspecified Objective Spaces CORL 2018
Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation RSS 2018
Time Limits in Reinforcement Learning ICML 2018
Emergency Response Optimization using Online Hybrid Planning IJCAI 2018
Risk-Aware Active Inverse Reinforcement Learning CORL 2018
Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018
Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning CORL 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari IJCAI 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning CORL 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Bayesian RL for Goal-Only Rewards CORL 2018
Object Ordering with Bidirectional Matchings for Visual Reasoning NAACL 2018
Total stochastic gradient algorithms and applications in reinforcement learning NIPS 2018
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension ACL 2018