jachiam / cpoLinks
Constrained Policy Optimization
☆332Updated 8 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☆431Updated last year
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 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
- Mean Field Multi-Agent Reinforcement Learning☆407Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆329Updated 3 years ago
- ☆273Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆513Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆213Updated 6 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆357Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆648Updated last year
- ☆344Updated 7 years ago
- ☆77Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆465Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆645Updated 4 years ago