gabrielgarza / openai-gym-policy-gradientLinks
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
☆113Updated 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
Sorting:
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- Reinforcement Learning in Keras on VizDoom☆143Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆393Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆137Updated last year
- implement of prioritized experience replay☆159Updated 6 years ago
- ☆77Updated 7 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆187Updated 9 months ago
- C51-DDQN in Keras☆126Updated 7 years ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆149Updated 7 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
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆293Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 9 months ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆102Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago
- TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆39Updated 3 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago