Reinforcement learning research engineer at InstaDeep
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InstaDeep
- Cape Town
Pinned Loading
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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 26
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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
1,578 contributions in the last year
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Activity overview
Contributed to
instadeepai/Mava,
instadeepai/jumanji,
instadeepai/marl-eval
and 11 other
repositories
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Contribution activity
February 2025
Created 3 commits in 2 repositories
Reviewed 5 pull requests in 2 repositories
instadeepai/Mava
3 pull requests
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Feat Sebulba recurrent IQL
This contribution was made on Feb 13
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Feat: Sebulba pipeline fix for recurrent systems
This contribution was made on Feb 10
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Feat: sebulba recurrent ippo
This contribution was made on Feb 4
instadeepai/jumanji
2 pull requests
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Matplotlib upgrade
This contribution was made on Feb 24
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Implement Search & Rescue Multi-Agent Environment
This contribution was made on Feb 4
7
contributions
in private repositories
Feb 5 – Feb 20