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Gated Transformer-XL (GTrXL) improves upon Transformer-XL by addressing its instability in reinforcement learning. It introduces gating mechanisms similar to LSTMs, which help stabilize training and improve long-term memory retention. This makes GTrXL more effective in partially observable environments where capturing long-range dependencies is crucial.
ashok-arora
changed the title
GTrXL: Stabilizing Transformers for Reinforcement Learning
Request to add GTrXL: Stabilizing Transformers for Reinforcement Learning
Feb 17, 2025
Model description
Gated Transformer-XL (GTrXL) improves upon Transformer-XL by addressing its instability in reinforcement learning. It introduces gating mechanisms similar to LSTMs, which help stabilize training and improve long-term memory retention. This makes GTrXL more effective in partially observable environments where capturing long-range dependencies is crucial.
Open source status
Provide useful links for the implementation
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