Applications

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations NeurIPS 2021 On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021 Optimal Cost Design for Model Predictive Control L4DC 2021 Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning NeurIPS 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 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 PID Accelerated Value Iteration Algorithm ICML 2021 Plan Explanations that Exploit a Cognitive Spatial Model ACL 2021 Planning and Reinforcement Learning for General-Purpose Service Robots IJCAI 2021 Planning Multimodal Exploratory Actions for Online Robot Attribute Learning RSS 2021 PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics ICLR 2021 PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning NeurIPS 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Policy Caches with Successor Features ICML 2021 Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding RSS 2021 Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories RSS 2021 Preferential Temporal Difference Learning ICML 2021 Primal Wasserstein Imitation Learning ICLR 2021 Prioritized Level Replay ICML 2021 Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem RSS 2021 Proper Value Equivalence NeurIPS 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provably Efficient Learning of Transferable Rewards ICML 2021