ikostrikov / pytorch-trpoLinks
PyTorch implementation of Trust Region Policy Optimization
☆450Updated 7 years ago
Alternatives and similar repositories for pytorch-trpo
Users that are interested in pytorch-trpo are comparing it to the libraries listed below
Sorting:
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Updated 3 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆434Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 6 years ago
- ☆398Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆516Updated 3 years ago
- ☆273Updated 7 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- Constrained Policy Optimization☆334Updated 8 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- Deep Q-Learning Network in pytorch (not actively maintained)☆419Updated 8 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆466Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆649Updated 4 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆372Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆623Updated 7 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆654Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆245Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆418Updated 4 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆870Updated 2 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆267Updated 8 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
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Multitask Environments for RL☆280Updated 4 years ago