Robotics

PODS: Policy Optimization via Differentiable Simulation 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 Primal Wasserstein Imitation Learning ICLR 2021 Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem RSS 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Reinforcement Learning in Reward-Mixing MDPs NeurIPS 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Residual Pathway Priors for Soft Equivariance Constraints NeurIPS 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021 RMP2: A Structured Composable Policy Class for Robot Learning RSS 2021 RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots CoRL 2021 Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract) AAAI 2021 Robot Manipulation Learning Using Generative Adversarial Imitation Learning IJCAI 2021 Robot Reinforcement Learning on the Constraint Manifold CoRL 2021 Robots on Demand: A Democratized Robotics Research Cloud CoRL 2021 Robust Asymmetric Learning in POMDPs ICML 2021