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
30
36
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)
Learning Expensive Coordination: An Event-Based Deep RL Approach
ICLR 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
ICML 2020
Learning from Demonstrations using Signal Temporal Logic
CoRL 2020
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation
AAAI 2020
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback
RSS 2020
Learning from Interventions Using Hierarchical Policies for Safe Learning
AAAI 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
CoRL 2020
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness
AACL 2020
Learning Guidance Rewards with Trajectory-space Smoothing
NeurIPS 2020
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning
ICLR 2020
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Learning Hybrid Control Barrier Functions from Data
CoRL 2020
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2020
Learning Individually Inferred Communication for Multi-Agent Cooperation
NeurIPS 2020
Learning Interactively to Resolve Ambiguity in Reference Frame Selection
CoRL 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem
UAI 2020
Learning Latent Representations to Influence Multi-Agent Interaction
CoRL 2020
Learning Memory-Based Control for Human-Scale Bipedal Locomotion
RSS 2020
Learning Multi-Agent Communication through Structured Attentive Reasoning
NeurIPS 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
NeurIPS 2020
Learning Navigation Costs from Demonstrations with Semantic Observations
L4DC 2020
Learning Nearly Decomposable Value Functions Via Communication Minimization
ICLR 2020
Learning Near Optimal Policies with Low Inherent Bellman Error
ICML 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
CoRL 2020
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
CoRL 2020