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"
Reinforcement Learning Notebooks
Exploring RL ideas for deep neural network hyper-parameter search
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
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
The primary objective of the project is to assess the effectiveness of opioid drug regulations in three U.S. states.
A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks
Applying AlphaZero Self-Play Tactics to LLaMA for Enhanced Chatbot Interaction
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