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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 110 of 137 papers

TitleStatusHype
Gamma and Vega Hedging Using Deep Distributional Reinforcement LearningCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Distributional Reinforcement Learning via Moment MatchingCode1
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
Conservative Offline Distributional Reinforcement LearningCode1
A Distributional Analogue to the Successor RepresentationCode1
Distributional Reinforcement Learning with Unconstrained Monotonic Neural NetworksCode1
Risk-Sensitive Policy with Distributional Reinforcement LearningCode1
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