Learning representations for RL in Healthcare under a POMDP assumption
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Updated
Jul 22, 2021 - Jupyter Notebook
Learning representations for RL in Healthcare under a POMDP assumption
⚡ Open-source Python framework for modelling sequential decision problems in the energy sector
Disagreement-Regularized Imitation Learning
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
Solver and library for POSGs.
Experiments for a Q-Based Evolutionary Algorithm (QBEA)
multi-armed bandit, gambler problem, cliff problem and TD learning
two-agents setting with minmax planner for counterfactual explanations - Learning from Explanations and Demonstrations: A Pilot Study
minmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios
Workshop for A Corunha in MCTS
POMDP for a programs funder and evaluator
cs2180 course artificial intelligence lab sessions
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