LuEE-C / PPO-Keras
My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
☆88Updated 5 years ago
Alternatives and similar repositories for PPO-Keras:
Users that are interested in PPO-Keras are comparing it to the libraries listed below
- C51-DDQN in Keras☆125Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆113Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆105Updated 6 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- implement of prioritized experience replay☆158Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- Reinforcement Learning in Keras on VizDoom☆145Updated 7 years ago
- A PyTorch implementation of Rainbow DQN agent☆168Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 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
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆103Updated 5 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆305Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 5 years ago
- Random Network Distillation pytorch☆243Updated 5 years ago
- A reinforcement learning framework☆154Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆201Updated 4 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆275Updated 4 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago