Dating
The goal of this training environment is to teach the agent to develop meaningful and respectful relationships through natural social interactions. Dating involves nuanced communication, emotional intelligence, and mutual respect, making it one of the most complex and human-like tasks in the AILIVE ecosystem. The agents must learn how to approach each other appropriately, build rapport, and progress their relationship only with mutual consent.
This environment simulates realistic social scenarios where agents learn to navigate the complexities of forming connections, from initiating small talk to planning dates and eventually forming deeper bonds.
Rewards
The reward function incentivizes respectful and meaningful interactions while penalizing inappropriate or rushed behavior. The reward function is: reward = respect_reward + rapport_reward + progress_reward - rejection_penalty - misstep_penalty
respect_reward: A reward for following social norms and respecting the other agent’s boundaries.
rapport_reward: A reward for building mutual understanding and positive interaction over time.
progress_reward: A reward for successfully progressing through stages of the relationship (e.g., from small talk to a first date).
rejection_penalty: A penalty for ignoring cues of disinterest or failing to respond appropriately.
misstep_penalty: A penalty for inappropriate, rushed, or overly aggressive behavior.
Challenges
Understanding Consent: The agent must learn to recognize and respect verbal and non-verbal signals from the other agent.
Building Rapport: Progressing through conversations to develop trust and mutual interest.
Planning Dates: Successfully arranging activities like coffee, dinner, or shared interests based on the preferences of both agents.
Arguments
Parameter
Default
Description
learning_rate
1e-4
Determines how quickly the agent adapts its social interaction strategies during training.
respect_reward_weight
2.0
Weight for rewarding respectful and appropriate behavior.
rapport_reward_weight
1.5
Weight for rewarding mutual understanding and positive interaction.
progress_reward_weight
1.0
Weight for rewarding successful relationship progression.
rejection_penalty_weight
-1.0
Penalizes failing to respect boundaries or ignoring disinterest cues.
misstep_penalty_weight
-2.0
Penalizes inappropriate or overly forward behavior.
conversation_depth
medium
Controls the complexity of conversations (e.g., small talk, deeper topics).
date_options
["coffee", "walk"]
Initial activities available for agents to propose as a first date.
consent_required
true
Ensures both agents must consent before progressing to a next stage in the relationship.
response_time_limit
2 seconds
Maximum allowable response time for conversational exchanges.
emotional_intelligence_weight
1.5
Reward weight for recognizing and adapting to the emotional state of the other agent.
rejection_tolerance
3 attempts
Maximum number of failed approaches before the agent should back off.
relationship_progression
coffee > dinner > outings
Defines the structured progression for building a relationship.
Training Milestones
Approaching Respectfully: Learning how to start a conversation politely and recognize social cues.
Small Talk: Engaging in light, enjoyable conversations to build initial rapport.
Planning a First Date: Proposing appropriate activities (e.g., coffee or a walk) based on shared interests and mutual consent.
Deepening Conversations: Discussing more meaningful topics to build a stronger connection.
Relationship Progression: Moving to more significant activities (e.g., dinner, movie night) while respecting boundaries.
Key Notes for Dating
Consent at Every Stage: Agents must obtain explicit consent before progressing in the relationship, ensuring interactions mirror real-life norms.
Emotional Intelligence: The agent is trained to recognize verbal and non-verbal cues, such as enthusiasm or discomfort, and adapt its behavior accordingly.
Diversity of Preferences: Different agents have unique preferences, requiring dynamic and adaptive strategies for building connections.
Example Scenario:
Approach: Agent A notices Agent B at a park. It starts with a polite greeting, gauging interest through non-verbal cues.
Small Talk: If Agent B responds positively, they discuss topics like the weather, hobbies, or shared interests.
Proposing a Date: If rapport is built, Agent A proposes a coffee date, which Agent B can accept or decline.
On the Date: During the coffee meeting, both agents continue to learn about each other, with rewards for engaging in meaningful and balanced conversation.
Next Steps: If the coffee date is successful, Agent A might suggest a follow-up activity, like dinner or an outing, ensuring consent is obtained at every stage.
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