LQNew / Deeper_Larger_Actor-Critic_RL
Pytorch implementation of large network design in continous control RL.
☆19Updated 3 years ago
Alternatives and similar repositories for Deeper_Larger_Actor-Critic_RL:
Users that are interested in Deeper_Larger_Actor-Critic_RL are comparing it to the libraries listed below
- Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.☆28Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆61Updated 10 months ago
- Code for Efficient Continuous Control with Double Actors and Regularized Critics, AAAI 2022.☆21Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML☆15Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆124Updated last year
- ☆39Updated 3 weeks ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆33Updated 2 years ago
- ☆14Updated 5 years ago
- ☆16Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆55Updated 11 months ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- ☆39Updated 2 years ago
- ☆55Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆107Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆66Updated last year
- Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.☆14Updated 5 years ago
- CORRO code☆35Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆40Updated last year
- behavior cloning from observation☆35Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆67Updated last year
- The implementation of LSTM-TD3.☆79Updated 2 years ago
- ☆12Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 3 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- Lightweight deep RL Libraray for continuous control.☆16Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆53Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆33Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆50Updated 2 months ago
- Distributional Soft Actor Critic☆52Updated 4 years ago