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Nathan Lichtlé nathanlct

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@CIRCLES-consortium

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  1. A data-driven, fast driving simulator for multi-agent coordination under partial observability.

    Python 296 34

  2. Computational framework for reinforcement learning in traffic control

    Python 1.2k 392

  3. A simple Python implementation of the Reeds-Shepp curves formulas.

    Python 157 57

  4. Puffing up reinforcement learning

    C 5.5k 428

  5. IIG-RL-Benchmark is a library for training and evaluating game theoretical or deep RL algorithms on OpenSpiel games.

    Python 25 4