jachiam / cpoLinks
Constrained Policy Optimization
☆335Updated 8 years ago
Alternatives and similar repositories for cpo
Users that are interested in cpo are comparing it to the libraries listed below
Sorting:
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆313Updated 4 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 3 years ago
- ☆276Updated 7 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆414Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆182Updated 8 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆661Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- ☆123Updated 2 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆116Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- ☆345Updated 8 years ago
- ☆54Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- Actor-critic with experience replay☆256Updated 3 years ago