A curated list of Monte Carlo tree search papers with implementations.
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Updated
Mar 16, 2024 - Python
A curated list of Monte Carlo tree search papers with implementations.
A Python package for causal inference using Synthetic Controls
Tabular methods for reinforcement learning
Offline evaluation of multi-armed bandit algorithms
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
Policy Iteration for Continuous Dynamics
A reinforcement learning project for crowd-dynamics in a very narrow corridor
🤖 Implementation of policy evaluation using dynamic programming to approximate a value function using an equiprobable random policy on Frozen Lake Grid World.
Approaching OPE as a regression problem using meta-learning.
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.
Benchmark for "Offline Policy Comparison with Confidence"
Exploring RL ideas for deep neural network hyper-parameter search
Reinforcement Learning Notebooks
This includes sample reinfrocement learning algorithms .Currently working on an approach to use RL for more comlex navigation issues
Implementation of td policy evaluation and q-learning on a grid world.
A PyTorch implementation of the "robust" synthetic control model
The primary objective of the project is to assess the effectiveness of opioid drug regulations in three U.S. states.
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks
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