Koopman-assisted RL reformulates max-entropy algorithms using controlled Koopman tensors and reports SOTA performance versus neural SAC on Lorenz, fluid flow, and other systems.
Human-level control through deep reinforcement learning
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Evolvability ES is an evolutionary strategy variant that directly optimizes for evolvability by maximizing behavioral diversity under mutations, tested on 2D/3D locomotion tasks and shown competitive with MAML.
citing papers explorer
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Koopman-Assisted Reinforcement Learning
Koopman-assisted RL reformulates max-entropy algorithms using controlled Koopman tensors and reports SOTA performance versus neural SAC on Lorenz, fluid flow, and other systems.
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Evolvability ES: Scalable and Direct Optimization of Evolvability
Evolvability ES is an evolutionary strategy variant that directly optimizes for evolvability by maximizing behavioral diversity under mutations, tested on 2D/3D locomotion tasks and shown competitive with MAML.