Deep RL

Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NeurIPS 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training IJCAI 2022 Robust Reinforcement Learning using Offline Data NeurIPS 2022 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 Safe Reinforcement Learning with Chance-constrained Model Predictive Control L4DC 2022 Safety aware changepoint detection for piecewise i.i.d. bandits UAI 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Sample-based Distributional Policy Gradient L4DC 2022 Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022 Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation ICLR 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract) IJCAI 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes IJCAI 2022 ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP 2022 Search-based Reinforcement Learning through Bandit Linear Optimization IJCAI 2022 Selective Token Generation for Few-shot Natural Language Generation COLING 2022 Self-supervised representations for multi-view reinforcement learning UAI 2022 Semantic Exploration from Language Abstractions and Pretrained Representations NeurIPS 2022 Semi-infinitely Constrained Markov Decision Processes NeurIPS 2022 SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022