Policy Learning

Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 Online Selection of Diverse Committees IJCAI 2021 On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method NeurIPS 2021 On the Expressivity of Markov Reward NeurIPS 2021 On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021 On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021 Optimizing Percentile Criterion using Robust MDPs AISTATS 2021 Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NeurIPS 2021 Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021 Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021 PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021 Phasic Policy Gradient ICML 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Policy Learning Using Weak Supervision NeurIPS 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Policy Optimization as Online Learning with Mediator Feedback AAAI 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NeurIPS 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021 Prediction and generalisation over directed actions by grid cells ICLR 2021