Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
2
2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
'5
'10
'15
'20
'25
Papers (including subtopics)
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
RSS 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
NeurIPS 2020
Emergent Tool Use From Multi-Agent Autocurricula
ICLR 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances
CVPR 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
IJCAI 2020
Episodic Reinforcement Learning with Associative Memory
ICLR 2020
Ergodic Specifications for Flexible Swarm Control: From User Commands to Persistent Adaptation
RSS 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
AAAI 2020
Error Bounds of Imitating Policies and Environments
NeurIPS 2020
ES-MAML: Simple Hessian-Free Meta Learning
ICLR 2020
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients
ICML 2020
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
ICLR 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
ICML 2020
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
CoRL 2020
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs
AACL 2020
Expected Policy Gradients for Reinforcement Learning
JMLR 2020
Experimental design for MRI by greedy policy search
NeurIPS 2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
NeurIPS 2020
Explainable Agency in Reinforcement Learning Agents
AAAI 2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
CoRL 2020
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
AISTATS 2020
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
UAI 2020
Exploration Based Language Learning for Text-Based Games
IJCAI 2020