Papers with latent action based method
Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions (2026.acl-long)
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| Challenge: | Recent reinforcement learning (RL) has been widely explored for adapting MCAs to various human-AI interaction scenarios. |
| Approach: | They propose to use a latent action space for reinforcement learning instead of RL to fine-tune MCAs. |
| Outcome: | The proposed method outperforms baselines on two conversation tasks with a novel cycle consistency loss. |