MarcoMeter / recurrent-ppo-truncated-bpttLinks
Baseline implementation of recurrent PPO using truncated BPTT
☆149Updated 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☆183Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆329Updated 11 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆146Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆289Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated last year
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- Partially Observable Process Gym☆195Updated last month
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆136Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- 🚀 A fast safe reinforcement learning library in PyTorch☆204Updated 10 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆101Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆71Updated last year
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆79Updated 11 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆207Updated 10 months ago
- ☆279Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆46Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 5 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆248Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Datasets with baselines for Offline MARL.☆176Updated last week
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago