jachiam / cpo
Constrained Policy Optimization
☆320Updated 7 years ago
Alternatives and similar repositories for cpo
Users that are interested in cpo are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning with Deep Energy-Based Policies☆423Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆305Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 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
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆489Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆393Updated 5 years ago
- ☆272Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆440Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- ☆342Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆542Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆628Updated last year
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆336Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆574Updated 7 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆696Updated 2 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- ☆391Updated 5 years ago