This work brings together the efforts of Narasimhan et al. and Adolphs et al. to tackle the task of building an AI agent that can play efficiently and win simplified text-based games.
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Updated
Nov 11, 2020 - Python
This work brings together the efforts of Narasimhan et al. and Adolphs et al. to tackle the task of building an AI agent that can play efficiently and win simplified text-based games.
Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning
Implementation of Deep Q Learning algorithms in pytorch
[IROS'23] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Best solution on OpenAI Leaderboard(for Nov 2019)
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deep reinforcement learning in pytorch
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An accompanying code and experiments' results for Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Reinforcement Learning modules for pytorch.
Implementation of upside down Reinforcement Learning
In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain
Dynamic Simulation Environments for Reinforcement Learning
Navigation Project - Udacity Deep Reinforcement Learning Nanodegree
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