Reinforcement Learning

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 Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles RSS 2020 Visual Imitation Made Easy CoRL 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search ICLR 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 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 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019 Active Domain Randomization CoRL 2019