sample efficiency

Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Model-free Policy Learning with Reward Gradients AISTATS 2022 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022 Object-Category Aware Reinforcement Learning NeurIPS 2022 Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022 On-Robot Learning With Equivariant Models CoRL 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NeurIPS 2022 Optimistic Initialization for Exploration in Continuous Control AAAI 2022 Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 Planning for Sample Efficient Imitation Learning NeurIPS 2022 Policy Optimization with Stochastic Mirror Descent AAAI 2022 Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt ICML 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NeurIPS 2022 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes ICML 2022 Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ICML 2022 Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks ICML 2022 Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency ICML 2022 Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space NeurIPS 2022 Reinforcement Learning with Option Machines IJCAI 2022 Representation Learning for Online and Offline RL in Low-rank MDPs ICLR 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning NeurIPS 2022