Workshop for A Corunha in MCTS
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Updated
Feb 9, 2018 - Python
Workshop for A Corunha in MCTS
Experiments for a Q-Based Evolutionary Algorithm (QBEA)
minmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
cs2180 course artificial intelligence lab sessions
multi-armed bandit, gambler problem, cliff problem and TD learning
POMDP for a programs funder and evaluator
Solver and library for POSGs.
two-agents setting with minmax planner for counterfactual explanations - Learning from Explanations and Demonstrations: A Pilot Study
⚡ Open-source Python framework for modelling sequential decision problems in the energy sector
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Learning representations for RL in Healthcare under a POMDP assumption
Disagreement-Regularized Imitation Learning
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