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sweetice / Deep-reinforcement-learning-with-pytorch

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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

algorithm deep-learning deep-reinforcement-learning pytorch dqn policy-gradient sarsa resnet a3c reinforce sac alphago actor-critic trpo ppo a2c actor-critic-algorithm td3

Updated May 21, 2021
Python

BY571 / Soft-Actor-Critic-and-Extensions

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PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

reinforcement-learning parallel-computing pytorch multi-environment reinforcement-learning-algorithms continuous sac prioritized-experience-replay actor-critic-algorithm soft-actor-critic emphasizing-recent-experience munchausen-reinforcement-learning munchausen d2rl

Updated Feb 24, 2021
Python

garlicdevs / Fruit-API

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A Universal Deep Reinforcement Learning Framework

environment games reinforcement-learning deep-learning deep-reinforcement-learning human multi-agent reinforcement-learning-algorithms multiplayer-game multi-objective-optimization atari actor-critic human-in-the-loop arcade-learning-environment actor-critic-algorithm multi-agent-reinforcement-learning policy-gradients

Updated Jun 8, 2021
Python

erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch

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Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

python reinforcement-learning deep-learning berkeley deep-reinforcement-learning openai-gym pytorch neural-networks policy-gradient deep-q-learning mujoco model-based-rl actor-critic-algorithm model-free-rl

Updated May 21, 2021
Python

philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients

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A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

reinforcement-learning deep-reinforcement-learning actor-critic-methods actor-critic-algorithm multi-agent-reinforcement-learning maddpg

Updated Apr 8, 2021
Python

kcg2015 / DDPG_numpy_only

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Implemenation of DDPG with numpy only (without Tensorflow)

neural-network policy-gradient reinforcement-learning-algorithms stochastic-gradient-descent adam-optimizer deep-deterministic-policy-gradient actor-critic-algorithm replay-buffer target-network

Updated Mar 4, 2018
Python

nitish-kalan / CartPole-v1-Actor-Critic-Keras

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Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm

machine-learning reinforcement-learning reinforcement-learning-algorithms actor-critic cartpole-gamebot actor-critic-methods actorcritic actor-critic-algorithm cartpole-v1 deepreinforcement actor-critic-with-experience-replay

Updated May 19, 2020
Python

imraviagrawal / Reinforcement-Learning-Implementation

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Implementation of Reinforcement Algorithms from scratch

reinforcement-learning q-learning cartpole mountain-car sarsa gridworld reinforce td-learning cross-entropy sarsa-lambda blackbox-optimization gridworld-environment actor-critic-algorithm cross-entropy-policy-search cartpole-environment reinforcement-algorithms q-learning-lambda

Updated Dec 6, 2018
Python

BY571 / D4PG

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PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

reinforcement-learning ddpg deep-deterministic-policy-gradient iqn prioritized-experience-replay actor-critic-algorithm pytorch-implementation distributional-rl d4pg munchausen-reinforcement-learning nstep-bootstrapping d2rl

Updated Apr 7, 2021
Python

mkurovski / deep_rl_nanodegree

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Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

reinforcement-learning unity deep-reinforcement-learning gym actor-critic-algorithm

Updated Mar 13, 2019
Jupyter Notebook

nima-siboni / simplest-world-Actor-Critic

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Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world

reinforcement-learning monte-carlo-simulation actor-critic-algorithm on-policy reinforcement-learning-environments

Updated Jul 31, 2020
Python

XuehaiPan / Soft-Actor-Critic

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PyTorch Implementation of Soft Actor-Critic Algorithm

reinforcement-learning-algorithms actor-critic actor-critic-algorithm soft-actor-critic

Updated Sep 13, 2020
Python

AkshayS21 / Reacher-Environment-Continuous-Control-with-DDPG-algorithm

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Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment

deep-reinforcement-learning ddpg continuous-control multiagent-reinforcement-learning ddpg-algorithm actor-critic-algorithm unity-ml unity-ml-agents

Updated Jan 26, 2019
Jupyter Notebook

GioStamoulos / BTC_RL_Trading_Bot

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A trading bitcoin agent was created with deep reinforcement learning implementations. Various experiments were performed on the type of neural network, the type of reinforcement learning algorithm and the number of daily input values that initially required from agent to make the first decision. Also, the agent was made with the assumption that for each day could ‘Sell’ or ‘Buy’.

deep-learning trading-bot deep-reinforcement-learning cryptocurrency reinforcement-learning-algorithms lstm-neural-networks multilayer-perceptron-network time-series-analysis trust-region-policy-optimization gym-environment proximal-policy-optimization actor-critic-algorithm stable-baselines

Updated Jul 23, 2021
Jupyter Notebook

charlola / autonomous-systems

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In this project, it is intended to learn and get familiar with the concepts of Reinforcement Learning (RL) by modeling agents with actor-critic and rainbow-dqn algorithms. Two continuous Unity Machine Learning Agents domains are chosen to realize this project.

reinforcement-learning actor-critic-algorithm rainbow-dqn unity-ml-agents