MarcoMeter / recurrent-ppo-truncated-bpttLinks
Baseline implementation of recurrent PPO using truncated BPTT
☆152Updated 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☆187Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆132Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆327Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 9 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆368Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆72Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆83Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Partially Observable Process Gym☆197Updated 2 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆209Updated 10 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆320Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 11 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆248Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆147Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆104Updated 5 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆207Updated 11 months ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆80Updated 11 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago