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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification INTERSPEECH 2017
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017
Latent Intention Dialogue Models ICML 2017
Count-Based Exploration with Neural Density Models ICML 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017
CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 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
Learning Combinatorial Optimization Algorithms over Graphs NIPS 2017
Thinking Fast and Slow with Deep Learning and Tree Search NIPS 2017
Deep Reinforcement Learning from Human Preferences NIPS 2017
Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017
Towards Generalization and Simplicity in Continuous Control NIPS 2017
Teaching Machines to Describe Images with Natural Language Feedback NIPS 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols NIPS 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NIPS 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017
Coarse-to-Fine Question Answering for Long Documents ACL 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017
Libratus: The Superhuman AI for No-Limit Poker IJCAI 2017
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars EMNLP 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NIPS 2017