policy-evaluation

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration

Updated May 21, 2018
Python

nicoRomeroCuruchet / DynamicProgramming

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Policy Iteration for Continuous Dynamics

simplex python3 reinforcement-learning-algorithms dynamical-systems dynamic-programming nonlinear-dynamics policy-evaluation kd-trees control-theory policy-iteration value-iteration gymnasium bellman-equation

Updated Oct 15, 2025
Python

nima-siboni / narrow-corridor-ai

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A reinforcement learning project for crowd-dynamics in a very narrow corridor

dynamic-programming policy-evaluation policy-iteration world-models multi-agent-reinforcement-learning

Updated Apr 21, 2020
Python

elliotvilhelm / gridworld-policy-evaluation

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🤖 Implementation of policy evaluation using dynamic programming to approximate a value function using an equiprobable random policy on Frozen Lake Grid World.

reinforcement-learning dynamic-programming policy-evaluation bellman-equation

Updated Nov 18, 2024
Python

QasimWani / off-policy-evaluation

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Approaching OPE as a regression problem using meta-learning.

reinforcement-learning policy-evaluation meta-learning

Updated Feb 11, 2021
Python

AmeyaWagh / robometric-frame

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A metrics library to evaluate vision language models with a pytorch eco system.

robotics policy-evaluation evaluation-metrics ml-evaluation torchmetrics diffusion-policy lerobot vision-language-action-model policy-lear

Updated Feb 8, 2026
Python

nataliakoliou / Collaborative-Graph-Coloring-Game

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A two-player dynamic game where deep Q-learning agents collaborate to find optimal solutions to a stochastic version of the graph coloring problem, featuring α-Rank for joint policy ranking and evaluation.

deep-reinforcement-learning evolutionary-algorithms game-theory policy-evaluation dynamic-games evolutionary-dynamics stochastic-games

Updated Jan 28, 2025
Python

vishal-keshav / xcelerator

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Exploring RL ideas for deep neural network hyper-parameter search

deep-neural-networks optimization pruning policy-evaluation meta-learning deep-learning-architectures

Updated Dec 25, 2018
Python

koulanurag / opcc

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Benchmark for "Offline Policy Comparison with Confidence"

reinforcement-learning policy-evaluation uncertainty-estimation confidence-estimation offline-reinforcement-learning offline-policy-comparison

Updated Oct 25, 2023
Python

Prakhar-FF13 / Reinforcement-Learning-With-Python

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Reinforcement Learning Notebooks

machine-learning reinforcement-learning deep-learning monte-carlo deep-reinforcement-learning policy-gradient policy-evaluation markov-decision-processes policy-iteration value-iteration actor-critic deep-q-learning temporal-differencing-learning cross-entropy-method

Updated Mar 31, 2019
Python

pablo-reyes8 / colombia-subsidy-mlops-platform

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MLOps-focused project on Colombia’s GEIH survey to train, deploy, and monitor models that identify subsidy-eligible households, improving targeting, resource allocation, and evidence-based policy decisions to reduce socioeconomic inequality.

machine-learning geospatial xgboost colombia policy-evaluation anomaly-detection subsidies explainable-ai ml-pipeline subsidy-targeting