Deep RL

Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021 RL for Latent MDPs: Regret Guarantees and a Lower Bound NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem NeurIPS 2021 RMM: Reinforced Memory Management for Class-Incremental Learning NeurIPS 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CoRL 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021 Safe Reinforcement Learning Using Robust Action Governor L4DC 2021 Safe Reinforcement Learning with Linear Function Approximation ICML 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021