Methods

Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation WACV 2022 Robust Action Gap Increasing with Clipped Advantage Learning AAAI 2022 Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint AAAI 2022 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Imitation of a Few Demonstrations with a Backwards Model NeurIPS 2022 Robust Imitation via Mirror Descent Inverse Reinforcement Learning NeurIPS 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 Policy Learning over Multiple Uncertainty Sets ICML 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 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NeurIPS 2022 RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022 Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022 Safe Optimal Design with Applications in Off-Policy Learning AISTATS 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 and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis ICML 2022