marcbrittain / Prioritized-Sequence-Experience-ReplayLinks
Prioritized Sequence Experience Replay
☆10Updated 4 years ago
Alternatives and similar repositories for Prioritized-Sequence-Experience-Replay
Users that are interested in Prioritized-Sequence-Experience-Replay are comparing it to the libraries listed below
Sorting:
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 4 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆29Updated 5 years ago
- ☆72Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆14Updated 4 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- OpenAI Gym environment for Platform☆19Updated 6 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Energy-based Surprise Minimization for Multi-Agent Value Factorization☆12Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- ppo-lstm-parallel☆48Updated 6 years ago
- ☆54Updated last year
- Asymmetric methods for partially observable reinforcement learning☆10Updated 7 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆98Updated 5 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 4 years ago
- ☆20Updated 2 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 6 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago