Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
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'25
Papers (including subtopics)
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
Predictive Coding for Locally-Linear Control
ICML 2020
Predictive Information Accelerates Learning in RL
NeurIPS 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees
NeurIPS 2020
Private Reinforcement Learning with PAC and Regret Guarantees
ICML 2020
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms
EMNLP 2020
Progressive Relation Learning for Group Activity Recognition
CVPR 2020
Projection-Based Constrained Policy Optimization
ICLR 2020
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
NeurIPS 2020
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
NeurIPS 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
Interspeech 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning
ICML 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
ICML 2020
Provably Efficient Exploration in Policy Optimization
ICML 2020
Provably Efficient Neural GTD for Off-Policy Learning
NeurIPS 2020
Provably efficient reinforcement learning with linear function approximation
COLT 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
NeurIPS 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration
NeurIPS 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract)
AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning
AAAI 2020
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
UAI 2020
Q-learning with Language Model for Edit-based Unsupervised Summarization
EMNLP 2020
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
RSS 2020