Tag: deep reinforcement learning
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Occupancy-Based Policy Compression for Efficient DRL
Discover how occupancy-based policy compression improves deep reinforcement learning by learning low-dimensional policy manifolds for better efficiency.
DeepXplain: Explainable AI Defense Against Multi-Stage APTs
Discover DeepXplain, an XAI-driven autonomous defense framework enhancing detection and response to multi-stage Advanced Persistent Threats (APTs).
LLM-Guided Reward Design for Multi-Agent Cooperation
Discover how large language models optimize reward design to boost coordination in cooperative multi-agent reinforcement learning tasks.
Scaling RL for Code Generation with Synthetic Data
Explore how synthetic data and curricula scale reinforcement learning to boost code generation performance in AI models.
Alignment Tax in LLMs: Impact on Response & Uncertainty
Explore how alignment tax causes response homogenization in LLMs and affects uncertainty estimation across benchmarks and model families.