value function

Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021 Differentiating the Value Function by using Convex Duality AISTATS 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NeurIPS 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Fourier Bases for Solving Permutation Puzzles AISTATS 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels ICLR 2021 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning ICLR 2021 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NeurIPS 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Lipschitz Lifelong Reinforcement Learning AAAI 2021 Machine Translation Decoding beyond Beam Search EMNLP 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Parameter-Based Value Functions ICLR 2021 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NeurIPS 2021 Phasic Policy Gradient ICML 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Preferential Temporal Difference Learning ICML 2021 Proper Value Equivalence NeurIPS 2021