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
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Papers (including subtopics)
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
AAAI 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
JMLR 2020
Continual Learning of Control Primitives : Skill Discovery via Reset-Games
NeurIPS 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
AAAI 2020
Contrastive Variational Reinforcement Learning for Complex Observations
CoRL 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
ICML 2020
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
ICML 2020
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
ACL 2020
Cooperative Heterogeneous Deep Reinforcement Learning
NeurIPS 2020
Cooperative Multi-Agent Bandits with Heavy Tails
ICML 2020
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning
AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
AAAI 2020
Count-Based Exploration with the Successor Representation
AAAI 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
NeurIPS 2020
Critic Regularized Regression
NeurIPS 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
AAAI 2020
Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation
IJCAI 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
NeurIPS 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICML 2020
Curriculum learning for multilevel budgeted combinatorial problems
NeurIPS 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
EMNLP 2020
Data-Driven Market-Making via Model-Free Learning
IJCAI 2020
Data Valuation using Reinforcement Learning
ICML 2020