michaelnny / deep_rl_zoo
A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
☆99Updated 6 months ago
Related projects: ⓘ
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆137Updated 3 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆67Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆118Updated 4 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆117Updated 4 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆125Updated this week
- Level-based Foraging (LBF): A multi-agent environment for RL☆152Updated this week
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆168Updated last year
- ☆192Updated 7 months ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆161Updated this week
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆113Updated last month
- ☆226Updated 2 years ago
- Partially Observable Process Gym☆158Updated 2 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last month
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆311Updated 2 years ago
- ☆187Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆96Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- A Simplified Pytorch Version of the Dreamer Algorithm☆105Updated last year
- Benchmarking RL generalization in an interpretable way.☆128Updated 7 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆130Updated 2 months ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆242Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆150Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆146Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆293Updated 3 weeks ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- Implementation of Trajectory Transformer with attention caching and batched beam search☆101Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆108Updated last year
- Code for the paper "Phasic Policy Gradient"☆245Updated last year