Space-sampled Value Decay is proposed as a simple forgetting mechanism for DQN and SAC modifications that shows positive but limited effects on returns in non-stationary RL environments.
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Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning
Space-sampled Value Decay is proposed as a simple forgetting mechanism for DQN and SAC modifications that shows positive but limited effects on returns in non-stationary RL environments.