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Found 2 papers, 1 papers with code
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Constraint-based offline reinforcement learning (RL) involves policy constraints or imposing penalties on the value function to mitigate overestimation errors caused by distributional shift.
FoX: Formation-aware exploration in multi-agent reinforcement learning
Recently, deep multi-agent reinforcement learning (MARL) has gained significant popularity due to its success in various cooperative multi-agent tasks.
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