wshuail / reinforcement_learning_with_Tensorflow
Minimal implementations of reinforcement learning algorithms by Tensorflow
☆29Updated 7 years ago
Alternatives and similar repositories for reinforcement_learning_with_Tensorflow:
Users that are interested in reinforcement_learning_with_Tensorflow are comparing it to the libraries listed below
- My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework☆36Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated last year
- Reinforcement Learning implementations and research prototyping in TensorFlow☆81Updated 5 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆103Updated 5 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆45Updated 3 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 7 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- Deep reinforcement learning agents implement by tensorflow https://ghli.org☆53Updated 5 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆32Updated 8 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆214Updated 5 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 7 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 6 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
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆70Updated 8 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization☆44Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆36Updated 6 years ago
- Meta Reinforcement Learning Experiments☆33Updated 7 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆43Updated 6 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆70Updated 7 years ago
- Yet another prioritized experience replay buffer implementation.☆49Updated 2 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆140Updated 7 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Reinforcement Learning in Python☆107Updated 5 years ago
- ☆117Updated 4 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago