Ending2015a / unstable_baselines
A TF2.0 implementation of RL baselines.
☆10Updated 3 years ago
Alternatives and similar repositories for unstable_baselines:
Users that are interested in unstable_baselines are comparing it to the libraries listed below
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- Generalised UDRL☆37Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆33Updated this week
- My Body Is A Cage☆39Updated 3 years ago
- Avenue is a simulator designed to test and prototype reinforcement learning algorithms. Avenue is a ServiceNow Research project that was …☆15Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆89Updated 7 months ago
- Revisiting Rainbow☆74Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 4 months ago
- [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow☆24Updated 4 months ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Soft Actor-Critic with advanced features☆48Updated this week
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- Deep Reinforcement Learning for Continuous Control in PyTorch☆96Updated 3 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago