Streaming Deep Reinforcement Learning Finally Works
Natural intelligence processes experience as a continuous stream, sensing, acting, and
learning moment-by-moment in real time. Streaming learning, the modus operandi of classic …
learning moment-by-moment in real time. Streaming learning, the modus operandi of classic …
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
We prove that the combination of a target network and over-parameterized linear function
approximation establishes a weaker convergence condition for bootstrapped value …
approximation establishes a weaker convergence condition for bootstrapped value …
Deep Reinforcement Learning Without Experience Replay, Target Networks, or Batch Updates
Natural intelligence processes experience as a continuous stream, sensing, acting, and
learning moment-by-moment in real time. Streaming learning, the modus operandi of classic …
learning moment-by-moment in real time. Streaming learning, the modus operandi of classic …