For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...

ActiveVLN is a Vision-and-Language Navigation (VLN) framework designed to enable active exploration through multi-turn reinforcement learning. Unlike traditional VLN methods, which rely on imitation ...

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Abstract: Conventional semantic communication systems require training task-specific semantic encoders on each user device and corresponding decoders on the server for every client, resulting in ...