value function

QPLEX: Duplex Dueling Multi-Agent Q-Learning ICLR 2021 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NeurIPS 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021 Self-Consistent Models and Values NeurIPS 2021 Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning AAAI 2021 Taylor Expansion of Discount Factors ICML 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021 Twice regularized MDPs and the equivalence between robustness and regularization NeurIPS 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 A Boolean Task Algebra for Reinforcement Learning NeurIPS 2020 A Closer Look at Deep Policy Gradients ICLR 2020 Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Deterministic Value-Policy Gradients AAAI 2020 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NeurIPS 2020