txzhao / rl-zoo
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
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- ☆54Updated 7 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- Policy gradient reinforcement learning algorithm with importance sampling☆31Updated 7 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- ☆91Updated last year
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago