MahanFathi / TRPO-TensorFlow
Trust Region Policy Optimization (TRPO) in pure TensorFlow
☆18Updated 6 years ago
Alternatives and similar repositories for TRPO-TensorFlow:
Users that are interested in TRPO-TensorFlow are comparing it to the libraries listed below
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆18Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Upper Confidence Tree Planner for ATARI games☆19Updated 8 years ago
- Hierarchical Deep RL Network☆31Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆92Updated 6 years ago
- PyTorch RL for Pommerman☆38Updated 6 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 5 months ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆35Updated 6 years ago
- Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization☆44Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- FEN Code☆37Updated 5 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆103Updated 5 years ago
- ☆31Updated 2 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆151Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 7 years ago
- This is my implementation of the Optimality Tightening☆37Updated 7 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Policy gradient reinforcement learning algorithm with importance sampling☆31Updated 7 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆23Updated 8 years ago