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Distributional Reinforcement Learning

Value distribution is the distribution of the random return received by a reinforcement learning agent. it been used for a specific purpose such as implementing risk-aware behaviour.

We have random return Z whose expectation is the value Q. This random return is also described by a recursive equation, but one of a distributional nature

Papers

Showing 125 of 137 papers

TitleStatusHype
Distributional Reinforcement Learning via Moment MatchingCode1
A Distributional Analogue to the Successor RepresentationCode1
Risk-Sensitive Policy with Distributional Reinforcement LearningCode1
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis TreatmentCode1
Conservative Offline Distributional Reinforcement LearningCode1
Distributional Reinforcement Learning with Unconstrained Monotonic Neural NetworksCode1
Gamma and Vega Hedging Using Deep Distributional Reinforcement LearningCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple ConstraintsCode1
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement LearningCode1
Implicit Distributional Reinforcement LearningCode1
ADDQ: Adaptive Distributional Double Q-LearningCode0
Estimation and Inference in Distributional Reinforcement LearningCode0
Estimating Risk and Uncertainty in Deep Reinforcement LearningCode0
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement LearningCode0
Conjugated Discrete Distributions for Distributional Reinforcement LearningCode0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement LearningCode0
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement LearningCode0
Distributional Reinforcement Learning with Quantile RegressionCode0
Distributional Reinforcement Learning for Energy-Based Sequential ModelsCode0
Distributional Reinforcement Learning with Regularized Wasserstein LossCode0
Distributional Off-policy Evaluation with Bellman Residual MinimizationCode0
Distributional Reinforcement Learning for Multi-Dimensional Reward FunctionsCode0
Distributional Bellman Operators over Mean EmbeddingsCode0
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