gabrielgarza / openai-gym-policy-gradient
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
☆112Updated 7 years ago
Alternatives and similar repositories for openai-gym-policy-gradient:
Users that are interested in openai-gym-policy-gradient are comparing it to the libraries listed below
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆159Updated 5 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 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☆146Updated 7 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆307Updated 4 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Updated 4 years ago
- implement of prioritized experience replay☆160Updated 6 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆178Updated 3 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆136Updated 11 months ago
- TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆39Updated 3 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 6 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 5 months ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆149Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆419Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆325Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆113Updated 6 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆102Updated 5 years ago