tianbingsz / SVRGLinks
Stochastic Variance Reduction Policy Gradient Estimation
☆11Updated 6 years ago
Alternatives and similar repositories for SVRG
Users that are interested in SVRG are comparing it to the libraries listed below
Sorting:
- ☆36Updated 5 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Updated 7 years ago
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- FEN Code☆38Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation☆50Updated 5 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- ☆18Updated 6 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 8 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- ☆106Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆16Updated 5 years ago
- A curated list of multiagent learning and related area resources.☆77Updated 6 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- reproduce some RL or Multi-Agent models☆35Updated 6 years ago