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
'15
'20
'25
Papers (including subtopics)
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
NeurIPS 2021
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
AAAI 2021
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
AAAI 2021
Learning to Switch Optimizers for Quadratic Programming
ACML 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies
NeurIPS 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
CoRL 2021
Learning to Weight Imperfect Demonstrations
ICML 2021
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality
ICML 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
L4DC 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
AAAI 2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
IJCAI 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
Leveraging Non-uniformity in First-order Non-convex Optimization
ICML 2021
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract)
AAAI 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Local policy search with Bayesian optimization
NeurIPS 2021
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
ICML 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
AISTATS 2021
Logistic Q-Learning
AISTATS 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
CoRL 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
CoRL 2021
LTL-Constrained Steady-State Policy Synthesis
IJCAI 2021