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sweetice / Deep-reinforcement-learning-with-pytorch

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 Mar 24, 2023
Python

fangvv / UAV-DDPG

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Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

reinforcement-learning deep-learning uav tensorflow dqn reinforcement-learning-algorithms drones deep-q-network ddpg deep-deterministic-policy-gradient computation-offloading unmanned-aerial-vehicle actor-critic-algorithm mobile-edge-computing

Updated Jan 7, 2024
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

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

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 Nov 21, 2022
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 Nov 22, 2022
Python

Phoenix-Shen / ReinforcementLearning

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强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

reinforcement-learning algorithms deep-reinforcement-learning pytorch policy-gradient qlearning-algorithm proximal-policy-optimization dppo prioritized-experience-replay actor-critic-algorithm deep-qlearning-algorithm ddpg-pytorch td3-pytorch

Updated Nov 2, 2023
Python

GioStamoulos / BTC_RL_Trading_Bot

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A trading bitcoin agent was created with deep reinforcement learning implementations.

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 Mar 28, 2022
Jupyter Notebook

ccnets-team / causal-rl

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Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm

reinforcement-learning pytorch gpt causal actor-critic-algorithm off-policy invertible-policy reverse-environment-network cooperative-network causal-mask

Updated Mar 27, 2024
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

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.