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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Shallow Updates for Deep Reinforcement Learning NIPS 2017
Decoding with Value Networks for Neural Machine Translation NIPS 2017
A multi-agent reinforcement learning model of common-pool resource appropriation NIPS 2017
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017
Sim-to-Real Robot Learning from Pixels with Progressive Nets CORL 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CORL 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017
Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016
Reinforcement Learning for Visual Object Detection CVPR 2016
End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning NIPS 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Deep Exploration via Bootstrapped DQN NIPS 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016
Learning Simple Algorithms from Examples ICML 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Learning Continuous Control Policies by Stochastic Value Gradients NIPS 2015
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
Deterministic Policy Gradient Algorithms ICML 2014
Recurrent Models of Visual Attention NIPS 2014
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NIPS 2013
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012