Abstract:We present VISUALHINTS, a novel environment for multimodal reinforcement learning (RL) involving text-based interactions along with visual hints (obtained from the environment). Real-life problems often demand that agents interact with the environment using both natural language information and visual perception towards solving a goal. However, most traditional RL environments either solve pure visionbased tasks like Atari games or video-based robotic manipulation; or entirely use natural language as a mode of… Show more
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