Tag: adversarial reinforcement learning
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AEM: Boost Multi-Turn RL Agents with Adaptive Entropy
Discover AEM, a supervision-free method enhancing multi-turn RL agents by optimizing exploration-exploitation and improving training efficiency.
Hamiltonian World Models for Physically Accurate Predictions
Discover how Hamiltonian World Models improve reliable, actionable predictions in embodied intelligence for robotics and autonomous systems.
Understanding Causal Foundations of Collective Agency in AI
Explore the causal foundations of collective agency in AI, enhancing safety and decision-making in multi-agent systems with new behavioral insights.
AdvDMD: High-Quality Few-Step Image Generation Method
Discover AdvDMD, a novel method combining adversarial reward and DMD for efficient, high-quality few-step image generation in diffusion models.
PRISM: Boost Multimodal RL with On-policy Distillation
Discover PRISM, a novel method enhancing multimodal reinforcement learning by reducing distributional drift via black-box on-policy distillation.