araffin / rl-handson-rlvs21Links
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
☆57Updated 2 years ago
Alternatives and similar repositories for rl-handson-rlvs21
Users that are interested in rl-handson-rlvs21 are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆139Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆198Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆156Updated last year
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆85Updated 2 months ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆102Updated 6 months ago
- Lightweight multi-agent gridworld Gym environment☆211Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- ☆77Updated 3 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆85Updated last year
- A gym environment for a miniature racecar using the pybullet physics engine.☆215Updated 2 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated last month
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Partially Observable Process Gym☆207Updated 5 months ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆39Updated last year
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆88Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆80Updated last year
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆29Updated 6 months ago
- Distributional Soft Actor Critic☆59Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆232Updated 5 years ago