hhexiy / opponentLinks
Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
☆71Updated 8 years ago
Alternatives and similar repositories for opponent
Users that are interested in opponent are comparing it to the libraries listed below
Sorting:
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆148Updated 2 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆124Updated 9 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 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
- ☆65Updated last year
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- Upper Confidence Tree Planner for ATARI games☆19Updated 9 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- ☆43Updated 8 years ago