MarcoMeter / recurrent-ppo-truncated-bpttLinks
Baseline implementation of recurrent PPO using truncated BPTT
☆148Updated last year
Alternatives and similar repositories for recurrent-ppo-truncated-bptt
Users that are interested in recurrent-ppo-truncated-bptt are comparing it to the libraries listed below
Sorting:
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆180Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 7 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆320Updated 10 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 11 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆145Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆109Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated 11 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆198Updated 8 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆172Updated last month
- Level-based Foraging (LBF): A multi-agent environment for RL☆182Updated 9 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 11 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆353Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆243Updated 5 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆46Updated 9 months ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 4 months ago