policy optimization

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks ICLR 2020 Importance Sampling Techniques for Policy Optimization JMLR 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Learning to Score Behaviors for Guided Policy Optimization ICML 2020 Learning to Slide Unknown Objects with Differentiable Physics Simulations RSS 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NeurIPS 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Model-Augmented Actor-Critic: Backpropagating through Paths ICLR 2020 Model-based Policy Optimization with Unsupervised Model Adaptation NeurIPS 2020 Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NeurIPS 2020 Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020 Policy Improvement via Imitation of Multiple Oracles NeurIPS 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NeurIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NeurIPS 2020 Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NeurIPS 2020 Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning IJCAI 2020