Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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9
27
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20
43
49
59
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58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
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362
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Papers (including subtopics)
Planning to Explore via Self-Supervised World Models
ICML 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks
AAAI 2020
PLAS: Latent Action Space for Offline Reinforcement Learning
CoRL 2020
Playing Atari with Six Neurons (Extended Abstract)
IJCAI 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI 2020
Policy Improvement via Imitation of Multiple Oracles
NeurIPS 2020
Policy learning in SE(3) action spaces
CoRL 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
L4DC 2020
Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence
L4DC 2020
Policy Search by Target Distribution Learning for Continuous Control
AAAI 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
ICML 2020
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
NeurIPS 2020
POMDPs in Continuous Time and Discrete Spaces
NeurIPS 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
NeurIPS 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
NeurIPS 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
AISTATS 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
ICLR 2020
Positive-Unlabeled Reward Learning
CoRL 2020
POST: POlicy-Based Switch Tracking
AAAI 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks
IJCAI 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
L4DC 2020
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
CVPR 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
ICML 2020
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
OSDI 2020