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LEARNING LONG-TERM REWARD REDISTRIBUTION VIA RANDOMIZED RETURN DECOMPOSITION
Zhizhou Ren
, Ruihan Guo
, Yuan Zhou
, Jian Peng
Industrial and Enterprise Systems Engineering
Biomedical and Translational Sciences
National Center for Supercomputing Applications (NCSA)
Research output
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peer-review
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Dive into the research topics of 'LEARNING LONG-TERM REWARD REDISTRIBUTION VIA RANDOMIZED RETURN DECOMPOSITION'. Together they form a unique fingerprint.
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Keyphrases
Reward Redistribution
100%
Return Decomposition
100%
Long-term Reward
100%
Reward Signal
66%
Episodic Reinforcement Learning
66%
Popular
33%
Problem Formulation
33%
Least Squares
33%
Environmental Signals
33%
Reward Function
33%
Future Outcomes
33%
Reward Delay
33%
Monte Carlo Sampling
33%
Baseline Algorithm
33%
Redistribution Algorithm
33%
Algorithmic Properties
33%
Surrogate Loss Function
33%
Sparse Reward
33%
Episodic Rewards
33%
Benchmark Tasks
33%
Delayed Reward
33%
Reinforcement Learning Applications
33%
Dense Reward
33%
Computer Science
Reinforcement Learning
100%
Least Squares Method
33%
Problem Formulation
33%
Randomized Algorithm
33%
Problem Setting
33%
Benchmark Task
33%