model-free learning

Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Chaining Behaviors from Data with Model-Free Reinforcement Learning CoRL 2020 Dynamic Regret of Policy Optimization in Non-Stationary Environments NeurIPS 2020 End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances CVPR 2020 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 PackIt: A Virtual Environment for Geometric Planning ICML 2020 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019 Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 The Laplacian in RL: Learning Representations with Efficient Approximations ICLR 2019 Is Q-Learning Provably Efficient? NeurIPS 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Shared Autonomy via Deep Reinforcement Learning RSS 2018 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Model-Free Imitation Learning with Policy Optimization ICML 2016 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012