Deep RL

On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning NSDI 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 Online and Offline Reinforcement Learning by Planning with a Learned Model NeurIPS 2021 Online learning in MDPs with linear function approximation and bandit feedback. NeurIPS 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 Online Sparse Reinforcement Learning AISTATS 2021 On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations NeurIPS 2021 On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021 On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021 On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021 On the Estimation Bias in Double Q-Learning NeurIPS 2021 On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021 On the role of planning in model-based deep reinforcement learning ICLR 2021 On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning COLT 2021 On the Theory of Reinforcement Learning with Once-per-Episode Feedback NeurIPS 2021 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021