The paper proposes a continuous reinforcement learning framework that models actions and environment states as stochastic differential equations, but its experiments underperform DDPG and its central guarantees are not rigorously established.
Effective reinforcement learning for mobile robots,
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Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods
The paper proposes a continuous reinforcement learning framework that models actions and environment states as stochastic differential equations, but its experiments underperform DDPG and its central guarantees are not rigorously established.