floodsung / a2c_cartpole_pytorchLinks
advantage actor-critic reinforcement learning for openai gym cartpole
☆65Updated 8 years ago
Alternatives and similar repositories for a2c_cartpole_pytorch
Users that are interested in a2c_cartpole_pytorch are comparing it to the libraries listed below
Sorting:
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 8 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
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- ☆107Updated 4 years ago
- reproduce some RL or Multi-Agent models☆35Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆222Updated 2 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 8 years ago
- Proximal Policy Optimization(PPO) Algorithm and its distributed implementation in Pytorch☆15Updated 8 years ago
- FEN Code☆39Updated 6 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆117Updated 2 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 9 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆123Updated 10 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- implement of prioritized experience replay☆159Updated 7 years ago