BY571 / Munchausen-RLLinks
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
โ45Updated 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:
- ๐งถ Minimal PyTorch Soft Actor Critic (SAC) implementationโ38Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,โฆโ88Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).โ94Updated last year
- Deep RL agents with PyTorchโ35Updated 4 years ago
- AGAC: Adversarially Guided Actor-Criticโ48Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various waysโ105Updated 4 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQFโฆโ33Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALEโ55Updated 6 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimationโ40Updated 2 months ago
- Soft Actor-Critic with advanced featuresโ51Updated 2 weeks ago
- Implicit Normalizing Flows + Reinforcement Learningโ61Updated 6 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learningโ128Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorchโ37Updated 6 months ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELSโ51Updated 3 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238โ48Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revengeโ96Updated 3 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.โ51Updated 4 years ago
- PyTorch IMPALA implementationโ28Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithmsโ96Updated 4 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"โ39Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020โ32Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learningโ32Updated 5 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Explorationโ69Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51โ22Updated 6 years ago
- Revisiting Rainbowโ75Updated 4 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environmentsโ27Updated 5 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorchโ104Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDPโ28Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithmโ44Updated 6 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020โ55Updated last year