philtabor / ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
☆62Updated last week
Related projects ⓘ
Alternatives and complementary repositories for ProtoRL
- Multi-objective Gymnasium environments for reinforcement learning☆287Updated last week
- A gym environment for a miniature racecar using the pybullet physics engine.☆169Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆123Updated 6 months ago
- SBX: Stable Baselines Jax (SB3 + Jax)☆336Updated this week
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆207Updated last year
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆104Updated 8 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆137Updated this week
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆50Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆150Updated 4 months ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆87Updated last year
- Partially Observable Process Gym☆166Updated 4 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆335Updated this week
- A collection of pre-trained RL agents using Stable Baselines3☆105Updated this week
- A Simplified Pytorch Version of the Dreamer Algorithm☆112Updated last year
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆91Updated 3 months ago
- An API conversion tool for popular external reinforcement learning environments☆139Updated last month
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆42Updated 2 years ago
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 2 years ago
- ☆59Updated 2 years ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆306Updated last week
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆62Updated 2 months ago
- A collection of MARL benchmarks based on TorchRL☆275Updated this week
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆227Updated this week
- A tool for aggregating and plotting MARL experiment data.☆61Updated this week
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆53Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- ☆200Updated 9 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆68Updated 2 weeks ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Easily implement custom Gymnasium environments for real-time applications☆74Updated last year