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Projects in Awesome Lists tagged with policy-gradient

A curated list of projects in awesome lists tagged with policy-gradient .

https://github.com/datawhalechina/easy-rl

强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/

a3c ddpg deep-reinforcement-learning double-dqn dqn dueling-dqn easy-rl imitation-learning policy-gradient ppo q-learning reinforcement-learning sarsa td3

Last synced: 10 May 2025

https://github.com/thu-ml/tianshou

An elegant PyTorch deep reinforcement learning library.

a2c atari bcq cql ddpg double-dqn dqn drl imitation-learning mujoco npg policy-gradient ppo pytorch rl sac td3 transferlab trpo

Last synced: 13 May 2025

https://github.com/kengz/slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

a2c a3c benchmark deep-reinforcement-learning dqn policy-gradient ppo pytorch reinforcement-learning sac

Last synced: 11 Feb 2026

https://github.com/kengz/SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

a2c a3c benchmark deep-reinforcement-learning dqn policy-gradient ppo pytorch reinforcement-learning sac

Last synced: 01 Apr 2025

https://github.com/khrylx/pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

a2c deep-reinforcement-learning fisher-vectors generative-adversarial-network policy-gradient ppo proximal-policy-optimization pytorch pytorch-rl reinforcement-learning trpo

Last synced: 12 Apr 2025

https://github.com/Khrylx/PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

a2c deep-reinforcement-learning fisher-vectors generative-adversarial-network policy-gradient ppo proximal-policy-optimization pytorch pytorch-rl reinforcement-learning trpo

Last synced: 29 Apr 2025

https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning sarsa td-learning tutorial

Last synced: 19 Jul 2025

https://github.com/omerbsezer/reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning sarsa td-learning tutorial

Last synced: 07 Oct 2025

https://github.com/suragnair/seqgan

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

deep-learning gan generative-adversarial-network generative-model natural-language-processing natural-language-understanding nlp policy-gradient seqgan

Last synced: 05 Apr 2025

https://github.com/medipixel/rl_algorithms

Structural implementation of RL key algorithms

deep-learning dqn gym policy-gradient python3 pytorch reinforcement-learning

Last synced: 29 Apr 2025

https://github.com/VinF/deer

DEEp Reinforcement learning framework

deep-reinforcement-learning policy-gradient q-learning

Last synced: 19 Jul 2025

https://github.com/rlcode/reinforcement-learning-kr

[파이썬과 케라스로 배우는 강화학습] 예제

actor-critic dqn grid-world openai-gym policy-gradient

Last synced: 05 Apr 2025

https://github.com/kengz/openai_lab

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

actor-critic ddpg deep-reinforcement-learning experiment keras openai policy-gradient reinforcement-learning tensorflow

Last synced: 09 Apr 2025

https://github.com/salesforce/multihopkg

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

action-dropout knowledge-graph multi-hop-reasoning policy-gradient pytorch reinforcement-learning reward-shaping

Last synced: 16 May 2025

https://github.com/dena/handyrl

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

deep-learning distributed-training games machine-learning policy-gradient pytorch reinforcement-learning

Last synced: 16 May 2025

https://github.com/DeNA/HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

deep-learning distributed-training games machine-learning policy-gradient pytorch reinforcement-learning

Last synced: 03 Apr 2025

https://github.com/liamconnell/deep-algotrading

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

deep-learning lstm neural-network policy-gradient reinforcement-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/keon/policy-gradient

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

deep-reinforcement-learning keras policy-gradient reinforcement-learning

Last synced: 25 Oct 2025

https://github.com/gordicaleksa/pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

deep-learning deep-q-network dqn jupyter policy-gradient ppo python pytorch pytorch-dqn pytorch-implementation pytorch-policy-gradient pytorch-ppo reinforcement-learning reinforcement-learning-algorithms rl

Last synced: 12 Sep 2025

https://github.com/liziniu/ReMax

Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

large-language-models policy-gradient reinforcement-learning rlhf

Last synced: 09 May 2025

https://github.com/keon/codegan

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks :octocat:

deep-learning paper policy-gradient recurrent-neural-networks rnn

Last synced: 09 Apr 2025

https://github.com/LucasWaelti/RL_Webots

Webots project to show how to use Deep Reinforcement Learning with Webots in C++.

cpp deep-reinforcement-learning libtorch policy-gradient python pytorch rl webots

Last synced: 10 May 2025

https://github.com/gameofdimension/policy-gradient-pong

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

policy-gradient reinforcement-learning tensorflow

Last synced: 15 Oct 2025

https://github.com/neymarl/pacman-rl

Implement some reinforcement learning algorithms, test and visualize on Pacman.

actor-critic pacman policy policy-gradient q-learning reinforcement-learning sarsa-lambda

Last synced: 11 Jul 2025

https://github.com/nikhil-kotecha/Emotional_Dialogue

A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.

cnn lstm-neural-networks policy-gradient reinforcement-learning tensorflow

Last synced: 04 Apr 2025

https://github.com/zafarali/policy-gradient-methods

Modular PyTorch implementation of policy gradient methods

policy-gradient reinforcement-learning

Last synced: 07 Sep 2025

https://github.com/bhanuvikasr/deep-rl-torcs

Autonomous Navigation using Deep Reinforcement Learning

actor-critic deep-q-network deep-reinforcement-learning policy-gradient

Last synced: 13 Aug 2025

https://github.com/goktug97/pepg-es

Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy

artificial-intelligence evolution-strategies neural-network policy-gradient

Last synced: 19 Aug 2025

https://github.com/aminkhani/deep-rl

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

artificial-intelligence atari2600 ddqn deep-learning deep-reinforcement-learning deep-rl deeprl dqn machine-learning policy-gradient proximal-policy-optimization reinforcement-learning

Last synced: 21 Jun 2025

https://github.com/hartikainen/easy21

Reinforcement learning agents and environment for Easy21, a modified version of Blackjack

easy21 monte-carlo policy-gradient reinforcement-learning sarsa

Last synced: 25 Mar 2025

https://github.com/omerbsezer/policygradient_ponggame

Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow

openai-gym policy-gradient reinforcement-learning

Last synced: 28 Apr 2025

https://github.com/fer14/raice

Car racing RL agents in actual F1 tracks

cars dqn f1 neat policy-gradient reinforcement-learning rl sarsa

Last synced: 11 Jul 2025

https://github.com/codename-detective/prompt-to-song-generation-using-large-language-models

This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.

deep-learning deep-reinforcement-learning flan-t5 genre-classification llama3 llms natural-language-processing policy-gradient rlhf seq-to-seq transformers

Last synced: 06 Apr 2026

https://github.com/epignatelli/discovering-reinforcement-learning-algorithms

A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.

actor-critic general-meta-learning jax lstm meta-learning paper-implementations paper-with-code policy-gradient reinforcement-learning reinforcement-learning-algorithms rnn stax

Last synced: 02 Mar 2025

https://github.com/wadaboa/cpr-appropriation

Solutions to the Harvest CPR appropriation problem with policy gradient methods and social learning, for Autonomous and Adaptive Systems class at UNIBO

aas cpr dqn gathering gifting gym harvest policy-gradient ppo reinforce rllib trpo unibo vpg

Last synced: 15 May 2025

https://github.com/jihoonerd/rl-maze

Simple maze solver by reinforcement learning

maze policy-gradient q-learning reinforce reinforcement-learning sarsa tutorial

Last synced: 12 Apr 2025

https://github.com/garethjns/reinforcement-learning-keras

Reinforcement learning algorithms implemented in Keras (tensorflow==2.3) and sklearn

dqn keras policy-gradient q-learning reinforcement-learning tensorflow2

Last synced: 10 Apr 2025

https://github.com/kraftpunk97-zz/monte-carlo-pg-in-julia

Monte Carlo Policy Gradient implementation in Julia using Flux.jl

flux-ml julia policy-gradient reinforce reinforcement-learning

Last synced: 12 Sep 2025

https://github.com/prakhr/reinforcement-learning-book

[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)

actor-critic baseline-cnns dagger ddpg dqn duckietown-environment gym gym-environment multiarmed-bandits policy-gradient policy-iteration pybox2d reinforce reinforcement-learning-algorithms roboschool sarsa-learning td3 tensorflow trpo value-iteration

Last synced: 03 Mar 2026

https://github.com/shaheennabi/reinforcement-or-deep-reinforcement-learning-practices-and-mini-projects

Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!

actor-critic-algorithm agent markov-decision-processes model-based-rl model-free-rl monte-carlo policy-gradient policy-optimization proximal-policy-optimization reinforcement-learning research temporal-differencing-learning

Last synced: 11 Oct 2025

https://github.com/nima-siboni/simplest-world-reinforce

Reinforcement learning, Policy Gradient, REINFORCE, Agent-based Simulation, Simple-world

monte-carlo-simulation policy-gradient policy-monitoring reinforcement-learning reinforcement-learning-environments

Last synced: 14 May 2026

https://github.com/simoninithomas/policy_gradients_cartpole

A Policy Gradient Learning with CartPole-v0 for Siraj Raval's challenge

cartpole-v0 deep-learning policy policy-gradient reinforcement-learning

Last synced: 25 Dec 2025

https://github.com/v-ade-r/gymnasium-rl-lab

Reinforcement learning implementations across FrozenLake, LunarLander, and HalfCheetah: Q-learning, SARSA, PPO, SAC, and evolutionary algorithms (CMA-ES, NES, MAP-Elites).

actor-critic evolutionary-algorithms policy-gradient pytorch reinforcement-learning temporal-differencing-learning

Last synced: 09 Jul 2026

https://github.com/msmrexe/neurosymbolic-vqa-program-generator

A comprehensive implementation of a Neurosymbolic framework for Visual Question Answering (VQA) on the CLEVR dataset. This project translates natural language questions into symbolic programs using three different learning strategies: Supervised (LSTM & Transformer), Reinforcement Learning (REINFORCE), and In-Context Learning (LLM).

clevr course-project in-context-learning large-language-models lstm neurosymbolic neurosymbolic-ai policy-gradient program-generator pytorch reinforce reinforcement-learning seq2seq supervised-learning system-2 transformer university-project visual-question-answering visual-reasoning vqa

Last synced: 07 May 2026

https://github.com/koulanurag/pfa

Policy Fusion Architecture (PFA): We investigate policy gradient approaches for reward decomposition in reinforcement Learning

policy-gradient pytorch reinforcement-learning

Last synced: 17 Apr 2026

https://github.com/keishihara/policy-gradients-pytorch

Simple Policy Gradient implementations in PyTorch for Reinforcement Learning.

deep-learning policy-gradient python3 pytorch reinforcement-learning

Last synced: 11 May 2026

https://github.com/camargo/dmu-project

Decision Making Under Uncertainty (DMU) final project.

atari deep-learning games policy-gradient reinforcement-learning

Last synced: 30 Apr 2026

https://github.com/simoninithomas/policy-gradient-doom--

Policy Gradient based agent that tries to survive in an hostile environement by collecting health.

baseline deep-reinforcement-learning doom policy-gradient tensorflow

Last synced: 22 Apr 2026

https://github.com/sykwer/pg_pong

Train ATARI pong agent by stochastic policy gradient method from raw playing images.

neural-network policy-gradient python3 reinforcement-learning

Last synced: 15 May 2026

https://github.com/airaria/reinforcementlearningalgorithms

Implementation of some reinforcement learning algorithms

actor-critic ddpg dqn drl gym lunarlander pendulum policy-gradient

Last synced: 06 Jul 2025