slowbull / DDPGLinks
Tensorflow implementation of Deep Deterministic Policy Gradients
☆19Updated 8 years ago
Alternatives and similar repositories for DDPG
Users that are interested in DDPG are comparing it to the libraries listed below
Sorting:
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆39Updated 7 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 5 months ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 6 years ago
- ☆303Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- Constrained Policy Optimization☆335Updated 8 years ago
- Mean Field Multi-Agent Reinforcement Learning☆412Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 7 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆100Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Repository for codes of 'Deep Reinforcement Learning'☆219Updated 6 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆79Updated 8 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆276Updated 7 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆112Updated 8 years ago
- Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year