Applications

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021 Reconciling Rewards with Predictive State Representations IJCAI 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 Regularized Softmax Deep Multi-Agent Q-Learning NeurIPS 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 Mean Field Games with Strategic Complementarities AISTATS 2021 Reinforcement Learning for Route Optimization with Robustness Guarantees IJCAI 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 of Implicit and Explicit Control Flow Instructions ICML 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Residual Pathway Priors for Soft Equivariance Constraints NeurIPS 2021 Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021 Reward is enough for convex MDPs NeurIPS 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021 RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NeurIPS 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