faameunier / MCTSnet
A PyTorch implementation of DeepMind's MCTSnet
β18Updated last year
Related projects β
Alternatives and complementary repositories for MCTSnet
- π§Ά Minimal PyTorch Soft Actor Critic (SAC) implementationβ36Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learningβ55Updated last year
- Deep Reinforcement Learning Framework done with PyTorchβ30Updated this week
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimationβ36Updated 3 weeks ago
- Implicit Normalizing Flows + Reinforcement Learningβ60Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradientsβ32Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQNβ42Updated 4 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1β15Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learningβ28Updated 4 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"β44Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Explorationβ67Updated 3 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisationβ14Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]β34Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"β42Updated last year
- My Body Is A Cageβ38Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.β32Updated last year
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51β23Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimizationβ31Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimationβ25Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculationsβ48Updated 2 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"β18Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).β87Updated 4 months ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environmβ¦β39Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is tβ¦β44Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the β¦β83Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"β28Updated 5 years ago
- Vectorization techniques for fast population-based training.β54Updated 2 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.β11Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architectureβ18Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policiesβ50Updated 2 years ago