fengredrum / DDPG-TensorFlow
a simple demo of pendulem control using DDPG algorithm
☆13Updated 6 years ago
Alternatives and similar repositories for DDPG-TensorFlow:
Users that are interested in DDPG-TensorFlow are comparing it to the libraries listed below
- Tensorflow implementation of Deep Deterministic Policy Gradients☆20Updated 7 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 6 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆76Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆102Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆130Updated 5 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 6 years ago
- TD-Regularized Actor-Critic Methods☆34Updated 5 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆177Updated 3 years ago
- Atari-DRQN (keras ver.)☆33Updated 6 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆70Updated 8 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Implimenting DDPG Algorithm in Tensorflow-2.0☆10Updated last year
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 6 years ago
- Inverse Reinforcement Learning Argorithms☆53Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 3 months ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆68Updated 6 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆125Updated 9 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- implement of prioritized experience replay☆158Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆100Updated 4 years ago
- scalable multi agents reinforcement learning☆54Updated 6 years ago
- Double Deep Q-Learning with Prioritized Experience Replay☆35Updated 6 years ago