conftrace_

distributional reinforcement learning

72 papers

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Also known as

DISTRIBUTIONAL RL DISTRL DRL

Co-occurring keywords

return distribution (18) value distribution (15) deep reinforcement learning (903) markov decision process (790) risk-sensitive reinforcement learning (27) policy gradient (520) quantile regression (95) sample efficiency (472) bellman equation (42) bellman operator (29)

Papers

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication AAAI 2026
A Differential Perspective on Distributional Reinforcement Learning AAAI 2026
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025
Epistemic Bellman Operators AAAI 2025
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025
Value-Distributional Model-Based Reinforcement Learning JMLR 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Foundations of Multivariate Distributional Reinforcement Learning NIPS 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model NIPS 2024
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024
An Analysis of Quantile Temporal-Difference Learning JMLR 2024
Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
Quantile Credit Assignment ICML 2023
A Risk-Sensitive Approach to Policy Optimization AAAI 2023
Beyond Average Return in Markov Decision Processes NIPS 2023
Distributional Multi-Objective Decision Making IJCAI 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning NIPS 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NIPS 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023
Adversarial Learning of Distributional Reinforcement Learning ICML 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023
Variance Control for Distributional Reinforcement Learning ICML 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NIPS 2023