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Reinforcement Learning

2,944 papers

Papers per year

22
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284
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Papers

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018
Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation RSS 2018
Simplifying Reward Design through Divide-and-Conquer RSS 2018
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications RSS 2018
Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018
State Aware Imitation Learning NIPS 2017
Distral: Robust multitask reinforcement learning NIPS 2017
Real-Time Bidding with Side Information NIPS 2017
Decoding with Value Networks for Neural Machine Translation NIPS 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Off-policy evaluation for slate recommendation NIPS 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NIPS 2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NIPS 2017
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NIPS 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning NIPS 2017
Dynamic-Depth Context Tree Weighting NIPS 2017
Deep Reinforcement Learning from Human Preferences NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Adaptive Batch Size for Safe Policy Gradients NIPS 2017