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1. Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning Public

   Source files to replicate experiments in my ICLR 2022 paper.

   Python 67 3

2. Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization Public

   Source files to replicate experiments in my NeurIPS 2019 paper.

   Python 10 1

3. Multi-Agent-Reinforcement-Learning-in-Stochastic-Games Multi-Agent-Reinforcement-Learning-in-Stochastic-Games Public

   Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.

   Python 69 25

4. Dialogue-State-Tracking-using-LSTM Dialogue-State-Tracking-using-LSTM Public

   Source files to replicate experiments in my IWSDS 2016 paper.

   Python 22 11

5. Active-Learning-for-Example-based-Dialog-Systems Active-Learning-for-Example-based-Dialog-Systems Public

   Source files to replicate experiments in my IWSDS 2016 paper.

   Python 8 1

6. Which-Experiences-Are-Influential-for-RL-Agents Which-Experiences-Are-Influential-for-RL-Agents Public

   Source files to replicate experiments in my ArXiv 2024 paper.

   Python 1