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
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 9 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆77Updated 8 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆105Updated 4 years ago
- Recurrent Deterministic Policy Gradient actor-critic based Reinforcement Learning algorithm in Action☆37Updated 3 months ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆85Updated 7 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 8 years ago
- Constrained Policy Optimization☆320Updated 8 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- ☆69Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago