Easy to use Python library for creating 2D arcade games.
A Universal Deep Reinforcement Learning Framework
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
(ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.
Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
Reinforcement learning with Qbert. Assignment 3 of ECSE-526.
Trained a reinforcement learning agent to play the Atari 2600 game of Ms. Pac-Man. Built a web-app to live stream gameplay with TCP/IP in real-time with Flask as the app interface.
track and log actions for a human player via Arcade Learning Environment
This project implements a Deep Q-Network (DQN) to train an agent to play an Atari game. The agent is trained using reinforcement learning and interacts with the environment to maximize its score.
Go transliteration of MinAtar
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