Tag: adversarial reinforcement learning
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FormalRewardBench: Benchmark for Theorem Proving Rewards
Discover FormalRewardBench, a new benchmark to evaluate reward models in formal theorem proving, enhancing AI's proof evaluation and learning.
MAGE: Advanced Multi-Agent Learning with Knowledge Graphs
Discover MAGE, a framework using co-evolutionary knowledge graphs to improve self-evolving AI agents' learning and stability across tasks.
HAGE: Advanced RL-Based Memory Graph for AI Models
Discover HAGE, an RL-driven weighted graph framework enhancing memory retrieval in AI for improved reasoning and dynamic relational understanding.
EXPO: Adaptive Policy Optimization for AI Exploration
Discover EXPO, a novel reinforcement learning method improving AI exploration via adaptive KL regulation and Gaussian curriculum sampling for better math r...
Attribution Explanations for Markov Decision Processes AI
Discover how attribution-based explanations improve interpretability in Markov Decision Processes, enhancing AI transparency and decision insights.