I am one of the core developers of JuliaPOMDP. The framework is a collection of algorithms and support tools for working with and solving Markov decision processes and their partially observable counterparts. It is written in Julia, and is aimed at both novices and experts in probabilistic planning and reinforcement learning.
The multi-agent deep reinforcement learning (MADRL) framework implements various multi-agent reinforcement learning environments. The framework implements multi-agent extensions of DQN, TRPO, and A3C.