Junyoungpark / Pytorch-AWAC
A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)
☆52Updated 3 years ago
Related projects: ⓘ
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆64Updated 3 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆50Updated 5 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆64Updated 2 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆29Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated 10 months ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆57Updated 4 years ago
- ☆46Updated last year
- ☆51Updated last year
- ML2-Multi Agent Environments☆33Updated 8 months ago
- Representation Learning for RL☆110Updated last year
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆101Updated last year
- Reinforcement learning algorithms for robot control tasks☆28Updated last month
- Deep Reinforcement Learning for Continuous Control in PyTorch☆92Updated 2 years ago
- Simple maze environments using mujoco-py☆52Updated 8 months ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆55Updated 3 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆50Updated 3 years ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆11Updated last month
- ☆17Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆27Updated 3 weeks ago
- ☆16Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆71Updated 9 months ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆26Updated last year
- Advantage weighted Actor Critic for Offline RL☆46Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆31Updated 4 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆40Updated 4 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated last year
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆32Updated 6 months ago
- ☆29Updated 3 years ago