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)
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
ACL 2019
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
IJCAI 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
NeurIPS 2019
Value Propagation Networks
ICLR 2019
Variance Reduced Policy Evaluation with Smooth Function Approximation
NeurIPS 2019
Variance Reduction for Reinforcement Learning in Input-Driven Environments
ICLR 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines
AAAI 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
CoRL 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
CoRL 2019
Variational Regret Bounds for Reinforcement Learning
UAI 2019
Verifiable and Interpretable Reinforcement Learning through Program Synthesis
AAAI 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
AAAI 2019
VIREL: A Variational Inference Framework for Reinforcement Learning
NeurIPS 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
AAAI 2019
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
ICLR 2019
Visual Semantic Navigation using Scene Priors
ICLR 2019
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.
ACL 2019
When to Trust Your Model: Model-Based Policy Optimization
NeurIPS 2019
When to use parametric models in reinforcement learning?
NeurIPS 2019
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
NeurIPS 2019
Worst Cases Policy Gradients
CoRL 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
ICLR 2019
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
CVPR 2018
A Bayesian Approach to Generative Adversarial Imitation Learning
NeurIPS 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
NeurIPS 2018