Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
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Updated
Oct 29, 2023 - Python
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
A very detailed project of Chrome Dinosaur in Deep RL for beginners
A repo for my deep RL agents from the course CS698R !
Исследовательская библиотека обучения с подкреплением.
Deep Reinforcement Learning: Value-Based methods. An implementation of DQN, DDQN, Dueling Architectures, DQV, DQV-Max on the PyTorch Lightning framework.
Solution to Project II: Continuous Control in Reinforcement Learning Udacity
Project for my KTA ( IM0702-232411M) course In our project, we are tasked with learning an agent to traverse a frozen lake without falling into the water. The agent learns by trial-and-error, adjusting the actions it takes based on the rewards it received in the past.
Solution to Project III: Collaboration and Competition in Reinforcement Learning
Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning
Value Based Methods - Train an agent to collect bananas. Part of Udacity DRL Nanodegree
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