BY571 / Munchausen-RLLinks
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
☆45Updated 5 years ago
Alternatives and similar repositories for Munchausen-RL
Users that are interested in Munchausen-RL are comparing it to the libraries listed below
Sorting:
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆51Updated 3 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆38Updated 7 months ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆33Updated 4 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago