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cs.AI2026
MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL
Ulixes Tariq Hawili, Subramanian Ramamoorthy, Yoann Altmann +1
We present MARL-BattleGrounds (MARL-BGs), an easy-to-use JAX-native benchmark for heterogeneous and competitive multi-agent reinforcement learning (MARL), designed to be sample-eff…
cs.AI2026
Pairwise Logical Selection of Enthymeme Completions under Semantic-Link Uncertainty
Xuyao Feng, Antonis Bikakis
Arguments often omit premises or claims, forming enthymemes. We study pairwise logical selection between two candidates for the omitted component. Existing natural language methods…