Policy Learning

Constrained Reinforcement Learning via Policy Splitting ACML 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation ACL 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Deep Conservative Policy Iteration AAAI 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020 Deterministic Value-Policy Gradients AAAI 2020 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NeurIPS 2020 Disagreement-Regularized Imitation Learning ICLR 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020 Discretizing Continuous Action Space for On-Policy Optimization AAAI 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Domain Adaptive Imitation Learning ICML 2020 Dual Policy Distillation IJCAI 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Dynamic Regret of Policy Optimization in Non-Stationary Environments NeurIPS 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NeurIPS 2020 Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation ICML 2020 Efficient Policy Learning from Surrogate-Loss Classification Reductions ICML 2020 Elaborating on Learned Demonstrations with Temporal Logic Specifications RSS 2020 Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020