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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017
Natural Value Approximators: Learning when to Trust Past Estimates NIPS 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017
Cold-Start Reinforcement Learning with Softmax Policy Gradient NIPS 2017
Adaptive Batch Size for Safe Policy Gradients NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Deep Reinforcement Learning from Human Preferences NIPS 2017
Dynamic-Depth Context Tree Weighting NIPS 2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NIPS 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NIPS 2017
Off-policy evaluation for slate recommendation NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
Decoding with Value Networks for Neural Machine Translation NIPS 2017
Real-Time Bidding with Side Information NIPS 2017
Distral: Robust multitask reinforcement learning NIPS 2017
State Aware Imitation Learning NIPS 2017
Learning to Translate in Real-time with Neural Machine Translation EACL 2017
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars EMNLP 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017