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value-based-methods

Here are 10 public repositories matching this topic...

holarissun / RewardShifting

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

reinforcement-learning ensemble ensemble-learning rnd deep-q-network reward-design reward-shaping exploration-exploitation value-based-methods reward-engineering offline-reinforcement-learning dqn-rnd ensemble-rl

Updated Oct 29, 2023
Python

SamYuen101234 / chrome_dino_RL

A very detailed project of Chrome Dinosaur in Deep RL for beginners

reinforcement-learning deep-reinforcement-learning q-learning rainbow torch pytorch policy-gradient convolutional-neural-networks deep-q-network chrome-dinosaur-game prioritized-experience-replay actor-critic-algorithm experience-replay double-q-learning policy-based-method streamlit value-based-methods real-time-demo

Updated Jun 10, 2022
Python

DibyojyotiS / CS698R_DRLagents

A repo for my deep RL agents from the course CS698R !

deep-reinforcement-learning value-based-methods

Updated Dec 10, 2021
Python

KitStandart / rl_lib

Исследовательская библиотека обучения с подкреплением.

reinforcement-learning dqn policy-gradient reinforcement-learning-algorithms continuous-control value-based-methods

Updated Nov 14, 2023
Python

RFLeijenaar / RL-Catch-Value-Based

Deep Reinforcement Learning: Value-Based methods. An implementation of DQN, DDQN, Dueling Architectures, DQV, DQV-Max on the PyTorch Lightning framework.

reinforcement-learning dqn ddqn dueling-network-architecture dqv prioritized-experience-replay dqv-max pytorch-lightning value-based-methods

Updated Jun 14, 2023
Python

minhna1112 / multi-agent-colcomp

Solution to Project III: Collaboration and Competition in Reinforcement Learning

udacity-nanodegree drl multi-agent-systems value-based-methods

Updated Nov 27, 2023
HTML

minhna1112 / reacher-continuous-control

Solution to Project II: Continuous Control in Reinforcement Learning Udacity

udacity-nanodegree drl continuous-control value-based-methods

Updated Nov 25, 2023
HTML

4rn3 / KTA_q_learning

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.

reinforcement-learning q-learning gym frozenlake value-based-methods

Updated Nov 17, 2023
Jupyter Notebook

bit-baker / Fairness-in-Multi-Agent-Systems

Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning

multi-agent-systems multi-agent-reinforcement-learning marl dqn-pytorch ddqn-pyotrch value-based-methods

Updated Oct 31, 2022
Jupyter Notebook

gscharly / drl_p1_navigation

Value Based Methods - Train an agent to collect bananas. Part of Udacity DRL Nanodegree

reinforcement-learning value-based-methods

Updated Feb 27, 2024
Python

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