Reinforcement Learning

Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning NeurIPS 2021 Optimizing Percentile Criterion using Robust MDPs AISTATS 2021 Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NeurIPS 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021 Parametrized Quantum Policies for Reinforcement Learning NeurIPS 2021 Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021 PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility ICCV 2021 Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021 PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021 PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NeurIPS 2021 PettingZoo: Gym for Multi-Agent Reinforcement Learning NeurIPS 2021 Phasic Policy Gradient ICML 2021 PID Accelerated Value Iteration Algorithm ICML 2021 Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks ICLR 2021 Plan Explanations that Exploit a Cognitive Spatial Model ACL 2021 Planning and Reinforcement Learning for General-Purpose Service Robots IJCAI 2021 Planning from Pixels in Atari with Learned Symbolic Representations AAAI 2021 Planning Multimodal Exploratory Actions for Online Robot Attribute Learning RSS 2021 Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration IJCAI 2021 PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics ICLR 2021 PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning NeurIPS 2021