txzhao / rl-zooLinks
PyTorch implementation of various reinforcement learning algorithms
☆18Updated 7 years ago
Alternatives and similar repositories for rl-zoo
Users that are interested in rl-zoo are comparing it to the libraries listed below
Sorting:
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- ☆37Updated 9 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- Safe Reinforcement Learning algorithms☆74Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 6 months ago
- ☆72Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 3 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆49Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago