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)
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
NeurIPS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates
AISTATS 2020
Variational Adversarial Kernel Learned Imitation Learning
AAAI 2020
Variational Imitation Learning with Diverse-quality Demonstrations
ICML 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
NeurIPS 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
ICLR 2020
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
ICLR 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
IJCAI 2020
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
ICLR 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
NeurIPS 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
NeurIPS 2020
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
What Can Learned Intrinsic Rewards Capture?
ICML 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
Working Memory Graphs
ICML 2020
Zap Q-Learning With Nonlinear Function Approximation
NeurIPS 2020
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
ICML 2019
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
NAACL 2019
Accelerating Imitation Learning with Predictive Models
AISTATS 2019
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
AAAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning
AAAI 2019
A Composable Specification Language for Reinforcement Learning Tasks
NeurIPS 2019
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs
ACML 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
CoRL 2019