MetcalfeTom / stable-baselines3-GPULinks
A GPU-accelerated fork of stable-baselines. Delivering reliable implementations of reinforcement learning algorithms.
☆25Updated 4 years ago
Alternatives and similar repositories for stable-baselines3-GPU
Users that are interested in stable-baselines3-GPU are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning Framework done with PyTorch☆43Updated 10 months ago
- ☆32Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated last month
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆79Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year
- Single-file truly minimal implementation of state-of-the-art reinforcement learning algorithms.☆21Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆122Updated last year
- ☆91Updated last week
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆86Updated 2 years ago
- Fast reinforcement learning research☆61Updated last year
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆100Updated 2 years ago
- PushWorld: A benchmark for manipulation planning with tools and movable obstacles☆89Updated 2 weeks ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆233Updated 2 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆83Updated 3 years ago
- a modular reinforcement learning library with JAX agents☆27Updated 10 months ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆30Updated 4 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆18Updated 3 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- ☆35Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆85Updated 2 months ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆27Updated 4 years ago
- ☆15Updated 2 years ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆35Updated 7 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆116Updated 2 years ago