Reinforcement learning research engineer at InstaDeep
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InstaDeep
- Cape Town
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CleanRL.jl
CleanRL.jl PublicSimple single file implementations of Reinforcement Learning algorithms in Julia
Julia 20
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es_pytorch
es_pytorch PublicHigh performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Python 25
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CoDeepNEAT
CoDeepNEAT PublicAn implementation of CoDeepNEAT using pytorch with extensions
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instadeepai/Mava
instadeepai/Mava Public🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
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instadeepai/jumanji
instadeepai/jumanji Public🕹️ A diverse suite of scalable reinforcement learning environments in JAX
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