conftrace_

action value

16 papers

Explore in graph

Co-occurring keywords · papers mentioning both

reinforcement learning (5) deep reinforcement learning (5) value estimation (2) deep q-network (2) double q-learning (2) action value estimation (2) markov decision process (2) sample efficiency (2) representation learning (2) double estimator (1)

Papers

Wasserstein Policy Optimization ICML 2025 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Amortized Planning with Large-Scale Transformers: A Case Study on Chess NeurIPS 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NeurIPS 2024 On the Actionability of Outcome Prediction AAAI 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NeurIPS 2024 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Weakly Coupled Deep Q-Networks NeurIPS 2023 ME-MCTS: Online Generalization by Combining Multiple Value Estimators IJCAI 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Self-correcting Q-learning AAAI 2021 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Random Projection in Neural Episodic Control ACML 2019 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Double Q-learning NeurIPS 2010