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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
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Papers (including subtopics)

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017
Runtime Neural Pruning NIPS 2017
Boltzmann Exploration Done Right NIPS 2017
One-Shot Imitation Learning 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
Thinking Fast and Slow with Deep Learning and Tree Search NIPS 2017
Learning Combinatorial Optimization Algorithms over Graphs NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Compatible Reward Inverse Reinforcement Learning NIPS 2017
QMDP-Net: Deep Learning for Planning under Partial Observability NIPS 2017
Adaptive Batch Size for Safe Policy Gradients NIPS 2017
Cold-Start Reinforcement Learning with Softmax Policy Gradient NIPS 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017
Natural Value Approximators: Learning when to Trust Past Estimates NIPS 2017
Value Prediction Network NIPS 2017
DART: Noise Injection for Robust Imitation Learning CORL 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017
Learning Robot Objectives from Physical Human Interaction CORL 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CORL 2017
Mutual Alignment Transfer Learning CORL 2017
Hierarchical Reinforcement Learning with Parameters CORL 2017