actor-critic-methods

There are 0 repository under actor-critic-methods topic.

philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
reinforcement-learning actor-critic-methods maddpg multi-agent-reinforcement-learning deep-reinforcement-learning actor-critic-algorithm
Language:Python 267
abhilash1910 / Deep_Reinforcement_Learning_Trading
Deep Reinforcement Learning for Trading
a2c a3c-agent actor-critic actor-critic-methods arima-model cnn-lstm-models ddpg double-dqn dqn-agents dueling-dqn ppo-agent prophet-model sac sarimax soft tensorflow2 time-series trpo trading trading-strategies
Language:Jupyter Notebook 20
gd-zhang / ACKTR
Actor Critic using Kronecker-Factored Trust Region
actor-critic-methods natural-gradients reinforcement-learning
Language:Python 19
nitish-kalan / CartPole-v1-Actor-Critic-Keras
Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm
reinforcement-learning reinforcement-learning-algorithms cartpole-v1 cartpole-gamebot machine-learning deepreinforcement actorcritic actor-critic actor-critic-algorithm actor-critic-with-experience-replay actor-critic-methods
Language:Python 11
IDSIA / rtrl-elstm
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
actor-critic-methods atari deepmind-lab procgen pytorch real-time-recurrent-learning recurrent-neural-networks reinforcement-learning rtrl torchbeast
Language:Python 8
jbp261 / Deep-RL-Quadcopter-Controller
Design and training of an RL agent to control a Quadcopter using Actor-Critic RL method
actor-critic-methods deep-neural-networks deep-reinforcement-learning reinforcement-learning-agent replay-buffer tensorflow
Language:Jupyter Notebook 2
TanushGoel / Atari-Games-RL
a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments
reinforcement-learning atari-games actor-critic-methods policy-gradient monte-carlo q-learning temporal-difference policy-based-method state-value-function
Language:Jupyter Notebook 2
kanji95 / Topics-in-Machine-Learning-CS7.502
Topics in Machine Learning @ IIIT Hyderabad (Fall 2021)
actor-critic-methods inverse-reinforcement-learning monte-carlo-methods policy-iteration td-methods value-iteration vanilla-policy-gradient
Language:Jupyter Notebook 1
ken-power / DRLND_ContinuousControl
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
deep-reinforcement-learning deep-learning pytorch unity deep-deterministic-policy-gradient actor-critic-methods continuous-action-space deep-q-learning openai-gym reacher-environment
Language:Jupyter Notebook 1
hmisra / Reacher-DDPG
A model to control a double-jointed arm to reach target using Deep Deterministic Policy Gradients
actor-critic-methods ddpg-agent deep-reinforcement-learning
Language:ASP 0
lorenzomancini1 / DeepRL
Implementations of some of the most well known Deep Reinforcement Learning algorithms
actor-critic actor-critic-methods deep-reinforcement-learning policy-gradient dqn-algorithm pytorch
Language:Python 0
rafonsor / unRL
unRL (AKA "unreal") is a set of libraries providing Reinforcement Learning algorithms implemented in PyTorch or Jax.
jax multi-armed-bandits reinforcement-learning artifical-intelligence policy-gradient pytorch actor-critic-methods dqn ddpg deep-reinforcement-learning ppo kfac
Language:Python 0
ustyuzhaninky / OSAR-keras
Objective Stimuli Active Repeater
keras-tensorflow actor-critic-methods gym recurrent-neural-network q-learning
Language:Jupyter Notebook 0
being-aerys / Reinforcement-Learning-Self-Projects
Fun with Reinforcement Learning in my spare time
cartpole deep-deterministic-policy-gradient ddpg continuous-control genetic-algorithm wrapper-api classic-controller cross-entropy-policy-search model-based-reinforcement-learning td3 reinforcement-learning deep-reinforcement-learning actor-critic-methods
Language:Jupyter Notebook
mynkpl1998 / A3C
This repository contains high quality and tested implementation of Asynchronous Actor Critic Algorithm
reinforcement-learning actor-critic-methods a3c-lstm a3c policy-gradient rl
Language:Dockerfile
n1ghtf4l1 / cautious-octo-disco
Implemented the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment.
actor-critic-methods cartpole-v0 openai-gym reinforcement-learning tensorflow
Language:Jupyter Notebook
nslyubaykin / relax_vpg_example
Example VPG implementation with ReLAx
actor-critic-methods continuous-control discrete-control policy-gradient reinforcement-learning vanilla-policy-gradient
Language:Jupyter Notebook
Rmko4 / RL-On-Policy-Actor-Critic
Deep Reinforcement Learning: On-Policy Actor Critic methods. An implementation of Advantage Actor-Critic (A2C) and Proximal Policy Optimization (PPO) on the PyTorch Lightning framework.
a2c actor-critic-methods gymnasium ppo pytorch-lightning reinforcement-learning
Language:Python
SwamiKannan / Reinforcement-Learning-Specialization
Programming Assignments for Reinforcement Learning Specialization
actor-critic-algorithm amii capstone-project dqn lunar-lander q-learning reinforcement-learning td-learning actor-critic-methods monte-carlo-sampling policy-gradient sarsa-learning coursera specialization coursera-machine-learning university-of-alberta alberta-machine-learning-institute
Language:Jupyter Notebook